Discovery Learning Apprenticeship Projects for AY 2025-2026

The Discovery Learning Apprenticeship (DLA) Program allows undergraduate engineering studentsto earn hourly wages (currently $16/hour; increasing to $17/hour in January 2026) while engaging in research with faculty and graduate students. You’ll work alongside graduate students, postdoctoral researchers and faculty as collaborative partners on original research. We find that students bring a fresh perspective to the research team while also learning from their more experienced partners.

  • Apprenticeship positionsannounced inmid-April
  • Applications are accepted through mid-Mayforacademic year 2025-2026
  • Students may work up to 300 hours in these positions over the course of the academic year
    • Average of 10 hoursper week over 30 weeks in the academic year
  • Attend several mandatory seminars and submit a project summary in the fall

Projects are listed by department or program. Review the "desired major" section of each project for eligibility to apply.

Project Description

This project enhances AI-assisted learning by integrating knowledge graphs with retrieval-augmented generation (RAG) to build a multi-assessment, multi-course concept connection tree and research the educational efficacy of AI-augmented education. The goal is to help students bridge concepts between assignments and across courses, improving their ability to track and apply knowledge throughout their curriculum. The DLA student will take a dual role in technical development and engineering education research. They will use AI tools to structure course content into a knowledge graph, integrate it with a RAG model, and develop research instruments to evaluate its effectiveness. The student will design pre/post surveys, analyze de-identified student performance metrics, and characterize the efficacy of this approach. This research aims to assess whether AI-driven concept mapping improves student understanding, engagement, and learning outcomes. The student will gain hands-on experience in AI implementation, educational research methodology, and data analysis.

Requirements:

  • Students must be familiar with either MATLAB or Python.
  • Knowledge of orbits, spacecraft attitude, and coordinate transformations is a plus.

Desired Majors:Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Robert Hodgkinson, Faculty
Email: hodgkinr@colorado.edu

Project Description

The Compact Spaceborne Magnetic Observatory (COSMO) CubeSat mission is a 6U CubeSat expected to launch in early 2026. Designed for low-Earth orbit, COSMO will provide critical measurements of the Earth’s magnetic field to support the next-generation World Magnetic Model (WMM). The CubeSat is equipped with two optical rubidium scalar magnetometers housed within a wire-coiled cube. Modulation fields applied to the cube along all three axes enable the extraction of vector components of the Earth’s magnetic field. The collected magnetic field data will be downlinked, processed, and calibrated before publication and dissemination to communities of interest.
YOUR ROLE:
Before launch, you will participate in CubeSat testing and develop data analysis subroutines to help establish an automated data processing pipeline, with a particular focus on coordinate transformations using data from the two star trackers onboard COSMO. After launch, you will implement the data processing codes and assist with in-orbit calibration and post-calibration efforts.
Tzu-Hsun Kao, a Ph.D. student, will provide guidance and support for any issues, while Dr. Robert Marshall will oversee the entire project.

Requirements:

  • Students must be familiar with either MATLAB or Python.
  • Knowledge of orbits, spacecraft attitude, and coordinate transformations is a plus.

Website: /aerospace/research/cu-boulder-cubesats

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Robert Marshall, Faculty
Email: robert.marshall@colorado.edu

Tzu-Hsun Kao, Graduate Student
Email: tzu-hsun.kao@colorado.edu

Project Description

Advances in spacecraft autonomy are necessary to complete complex missions across large constellations of satellites. Our research studies the use of deep reinforcement learning to generate autonomous, scalable solutions for spacecraft tasking and scheduling. This project will involve training and evaluating agents for spacecraft autonomy and developing an open-source spacecraft simulation environment for reinforcement learning (based on BSK-RL).

Requirements:

  • Experience with Python development and git
  • Interest in or experience with machine learning or reinforcement learning
  • Basic familiarity with space systems

Website:

Desired Majors: Aerospace Engineering, Applied Mathematics, Computer Science, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Mechanical Engineering

Contact

Hanspeter Schaub, Faculty
Email: hanspeter.schaub@colorado.edu

Lorenzzo Quevedo, Graduate Student
Email: Lorenzzo.QuevedoMantovani@colorado.edu

Project Description

Limb-sounding Doppler interferometry for neutral wind retrieval relies on Abel-like algorithms under the common assumption that emission intensity varies only with altitude. This implies that the Volume Emission Rate (VER) remains constant across altitudinal tangential points. While this assumption holds under specific conditions, significant variations in VER can occur, particularly at magnetically equatorial latitudes.
This project aims to characterize VER asymmetries using ICON-MIGHTI spaceborne observations under two distinct conditions: (1) in response to ionospheric drivers at the solar terminators and (2) across the crests of the Equatorial Ionospheric Anomalies. The study will integrate theoretical models such as GLOW, empirical models, and conjugate ground-based observations from Incoherent Scatter Radars and ionosondes.
The student will actively participate in every stage of this project and receive close mentorship.

Requirements:

  • Must have excellent programming skills. Experience with fortran, and with python or matlab.
  • Must have taken algebra classes and inverse methods (desirable).
  • Prior experience with linux servers (desirable)

Desired Majors: Aerospace Engineering, Applied Mathematics, Computer Science, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Mechanical Engineering

Contact

Luis Navarro, Faculty
Email: luis.navarro@colorado.edu

Arunima Prakash, Graduate Student
Email: arunima.prakash@colorado.edu

Project Description

The Geospace Data Science Lab in the Smead Department of Aerospace Engineering Sciences specializes in developing data assimilation and machine learning applications for atmospheric and space physics research. An ongoing GDSL project involves development of a machine learning model using FUV satellite imagery of aurora and in-situ measurements of aurora-inducing energetic particles. Both the imagery and the particle measurements are captured onboard Defense Meteorological Satellite Program (DMSP) spacecraft, which have contributed to understanding of auroral dynamics and the processes that connect the Earth’s upper atmosphere to space, which is vital for protecting space-based infrastructure.
GDSL invites a DLA student to contribute to these efforts by generating AI-ready data sets that can be used to train a supervised machine learning model. This may include coding Python scripts to extract features from satellite images and/or labeling and organizing portions of satellite images. The DLA student may apply feature extraction techniques in Python (e.g. Wavelet or Curvelet Transform). The student will also be responsible for proper documentation of the scripts and tools used.

Requirements:

  • Second-year or beyond CEAS student having completed at least two computer programming courses
  • Majoring in Aerospace Engineering Sciences, Computer Science, Electrical, Computer & Energy Engineering, or Electrical Engineering
  • Python programming experience
  • Interest in signal/image processing, machine learning, and near-Earth space science
  • Excellent organization and communication skills
    Highly Preferred:
  • Experience and/or coursework taken in signal/image processing and machine learning
  • Experience handling large data sets and/or working with satellite imagery
  • Experience programming in MATLAB

Website: /lab/matsuo/

Desired Majors: Aerospace Engineering, Applied Mathematics, Computer Science, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Mechanical Engineering

Contact

Tomoko Matsuo, Faculty
Email: tomoko.matsuo@colorado.edu

Kawther Rouabhi, Graduate Student
Email: kawther.rouabhi@colorado.edu

Project Description

Thanks to the Sun, the space environment in our solar system is filled with plasma – a collection of ions and electrons that can conduct electricity and respond to magnetic fields. Space around Earth is layered into distinct plasma environments that each impact spacecraft in unique ways. In this project, we will explore how spacecraft cleave the dense plasma in LEO, charge in the highly energetic GEO plasma, and travel through cislunar space. Our research will focus on the effects of spacecraft charging, both passive and active, through computer simulations and vacuum chamber experiments. After this year of research, you will feel at home in Earth’s plasmasphere and beyond!

Requirements:

  • Proficiency with programming in MATLAB (preferred, but can easily ramp up with familiarity in any language)
  • Basic understanding of electricity and magnetism
  • Would be nice: FEA experience, preferably COMSOL

Website:

Desired Majors: Aerospace Engineering, Computer Science, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Mechanical Engineering

Contact

Hanspeter Schaub, Faculty
Email: hanspeter.schaub@colorado.edu

Amy Haft, Graduate Student
Email: Amy.Haft@colorado.edu

Project Description

The RF & SatNav Laboratory is developing an advanced live-logging software defined radio (SDR) system designed to operate with a 5-element antenna array. This project focuses on integrating C/C++ user interface front end with a Python handler to support RF applications such as multi-antenna position solutions, direction finding and signal characterization.
No experience with GPS/GNSS is required, however the candidate should be experienced and comfortable in programming with C/C++, MATLAB, and Python and development tools such as GitHub, GitLab, VSCode, etc. This project involves both an in-lab software component as well as hardware field testing.

Requirements:

  • Strong programming skills
  • Experience with C/C++ and Python within Linux
  • Ability to attend regular meetings
  • Interest in GPS/GNSS and user interface development

Website: /lab/rf-satnav/

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Dennis Akos, Faculty
Email: dma@colorado.edu

Project Description

Google has contributed toward the exploration of improving the GPS/GNSS performance, which enables ALL the position aware applications, within the Android Mobile phone through its past "Decimeter Challenge" (https://www.kaggle.com/competitions/smartphone-decimeter-2023).
The RF & SatNav Laboratory (/lab/rf-satnav/) has extensive experience in working with the GPS/GNSS within Android phones and working to improve the capabilities.
Participating students would be expected to have a strong programming background (C/C++/Matlab/Python are all possible as well as Java, ideally with Android Studio Development). GPS/GNSS experience is not required but definitely helpful. We expect to explore the use of the inertial sensors for position and navigation (gryo, mag, accel) as well as details of the GPS/GNSS engine (https://developer.android.com/develop/sensors-and-location/sensors/gnss)
Have a look at this for more details: https://www.youtube.com/watch?v=aN8IZgRJBSM on some of our past work.

Requirements: None.

Website: /lab/rf-satnav/

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Dennis Akos, Faculty
Email: dma@colorado.edu

Project Description

Gravity gradiometers measure variations in the gravity field affecting a spacecraft. While used in missions like GOCE for Earth gravity mapping, their potential for autonomous space navigation remains largely unexplored. By leveraging gravity measurements, spacecraft can navigate autonomously in regions where gravitational influences—such as those between Earth and Moon—are well characterized.
Accurate space navigation requires algorithms that translate instrument data into precise positioning. This project focuses on deriving equations that relate gradiometer measurements to spacecraft location within a complex gravity field. The DLA student will build on existing derivations and algorithms, extend them for navigation, and validate their suitability through simulations.
The algorithms developed can also be expanded to estimate spacecraft orientation as a secondary task.
References
Asteroid gravity field estimation using a gravity gradiometer - https://doi.org/10.2514/6.2024-2274
S. Coll-Ibars, D. J. Scheeres and P. Axelrad, "Autonomous Spacecraft Navigation in Cislunar Space using Quantum Gravity Gradiometers" 2025 (see link below)

Requirements:

  • Students should have a strong background in mathematics and programming, with motivation to explore novel space navigation techniques.
  • Basic knowledge of orbital mechanics from calculus-based physics or aerospace courses is required.
  • Algorithm implementation will be conducted in C, C++, or MATLAB, while equation derivations are expected to be performed both by hand and using symbolic math tools.

Website:

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Penina Axelrad, Faculty
Email: penina.axelrad@colorado.edu

Sergio Coll Ibars, Graduate Student
Email: sergio.collibars@colorado.edu

Project Description

Motion planning algorithms find feasible paths for vehicles to follow through complex environments. Students will be responsible for design and evaluation of test case environments for these algorithms. This involves designing environments that are challenging for modern algorithms to solve and testing the performance of several state-of-the-art algorithms in them.
Environment design involves generating environments that are challenging for modern robotic systems to navigate. Particular environments of interest are those with strong wind fields for aerial vehicles such as urban air mobility and severe storm drone operation. This process will involve modeling both wind fields and obstacles from real world data including weather models and city maps.
Algorithm implementations will be provided from a library, but students must implement the algorithms from the library on the designed environments and evaluate their performance. Vehicle dynamics models will also be provided to be integrated into the planning algorithms.

Requirements:

  • Competence at C++ programming is a must. The exact library of algorithms is the Open Motion Planning Library (OMPL). Familiarity with common motion planning algorithms (RRT, RRT*, A*, etc.) is helpful but not necessary.

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Eric Frew, Faculty
Email: Eric.Frew@colorado.edu

Michael Moncton, Graduate Student
Email: Michael.Moncton@colorado.edu

Project Description

Optical imaging interferometers monitor doppler shift and broadening of airglow spectral lines. The resultant interferometric images are processed to estimate the thermospheric winds and temperatures over 200 km at different line-of-sights. These neutral parameters are of key importance to further understand state of the thermosphere and of the ionosphere when analyzed along with data products from other ground-based instrumentation.
This project involves field testing of a Fabry-Perot Interferometer on CU campus by using libraries to automatize its operation, monitoring of the results on a website, processing the data products and analysis the resultant products with complementary datasets from ionosondes and satellites.
The student will be engaged in different improvements and state of the art analysis from these instruments.

Requirements:

  • Strong programming skills are recommended, Python preferred.
  • Familarity with linux-based servers.
  • Desirable experience with 3D printing and modeling
  • Must have taken algebra courses, inverse methods preferred.

Website:

Desired Majors: Aerospace Engineering, Applied Mathematics, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Mechanical Engineering

Contact

Luis Navarro, Faculty
Email: luis.navarro@colorado.edu

Arunima Prakash, Graduate Student
Email: arunima.prakash@colorado.edu

Project Description

When spacecraft run out of fuel, they lose the ability to maintain their orbit, suffering scientific or communications misalignment and potentially becoming a collision risk to other satellites. Our research explores physically capturing end-of-life satellites to either extend their life or move them away from a useful orbit. This project will involve developing simulations for rendezvous between spacecraft and experimenting with docking techniques.

Requirements:

  • Proficiency with coding in Python and git
  • Understanding of dynamics and control
  • Interest in or experience with spacecraft systems

Website:

Desired Majors: Aerospace Engineering, Applied Mathematics, Computer Science, Engineering Physics, Mechanical Engineering

Contact

Hanspeter Schaub, Faculty
Email: hanspeter.schaub@colorado.edu

Andrew Morell, Graduate Student
Email: Andrew.Morell@colorado.edu

Project Description

Spacecraft interaction with the ambient plasma and radiation environment, leading to a potential on the surface materials. This can generate electrostatic forces and torques between two spacecraft during proximity operations or lay the groundwork for electrostatic discharges to occur during docking operations. To account for this, methods for determining the potential of a nearby spacecraft are under investigation. This technology is complicated by complex spacecraft shapes and plasma formations around the spacecraft.
For this project, you will help determine how to reliably conduct touchless potential sensing using both simulations and vacuum chamber experiments.

Requirements: None.

Website:

Desired Majors: Aerospace Engineering, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Mechanical Engineering

Contact

Hanspeter Schaub, Faculty
Email: hanspeter.schaub@colorado.edu

Kaylee Champion, Graduate Student
Email: Kaylee.Champion@colorado.edu

Project Description

We test the coverage and bias properties of a newly proposed Weak-form Estimation of Non-linear Dynamics (WENDy) algorithm for parameter estimation in biological dynamical systems. We quantify these properties by running computational trials and utilize smoothing to see if coverage properties improve. As the student I will be writing the code and running the numerical trials for 5 benchmark biological dynamical systems, namely, the Logistic, Lotka-Volterra, Fitzhugh-Nagumo, Hindmarsh-Rose, and Protein Transduction Benchmark models in addition to producing the figures and graphics for the project.

Requirements: None.

Desired Majors: Applied Mathematics

Contact

Vanja Dukic, Faculty
Email: vanja.dukic@colorado.edu

Project Description

This is a general call for applied mathematicians, statisticians, and data scientists to engage in multiple projects of LISA--the Laboratory for Interdisciplinary Statistical Analysis. In a nutshell, LISA helps domain experts throughout the community (at 91ý and in and around Boulder) use statistics and data science to advance their research or make data-driven decisions. I currently have many projects that require a dedicated student to finish--both from the perspective of on-going projects that require statistical analyses and projects I am leading to better understand how to promote interdisciplinary collaboration. These projects about collaboration and how to teach collaboration are relevant across the LISA 2020 Global Network, which is our network of 36 statistics and data science collaboration laboratories in developing countries (mostly in Africa).

Requirements: None.

Website: /lab/lisa

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Eric Vance, Faculty
Email: eric.vance@colorado.edu

Project Description

Attitudes about collaboration are skills in that they can be learned and can facilitate collaboration. Students with a collaborative attitude usually excel in collaboration. The right attitudes can unlock other skills, such as communication, relationship building, and doing appropriate and useful statistical analyses. In short, attitudes are perhaps the most useful leverage point for educators to teach and promote statistics and data science collaboration to their students.
Human attitudes can be thought of as a high dimensional space. It’s hard for the human brain to understand phenomena existing in a 100+ dimensional space. So, like we do with other aspects of collaboration, we are trying to find useful projections (dimension reduction) of attitudes to help ourselves and our students grasp this space of attitudes.
In this project, you will analyze data from students in Colorado and in Indonesia and help us collect new data on attitudes about interdisciplinary collaboration from students across the United States, Africa, and Asia.

Requirements:

  • Students must be motivated to be involved in all aspects of our research--from helping to manage surveys to collect new data, analyzing data from multiple angles, and communicating the findings in ways lay people can understand.

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Eric Vance, Faculty
Email: eric.vance@colorado.edu

Project Description

This project will work with agent based disease spread models and examine what happens when such models are pushed to work with large number of agents in a variety of environments. We will look at the upscaled versions of such models and examine their mathematical properties, as well as implications for inference and uncertainty quantification.

Requirements:

  • Student must have taken calculus, differential equations, and linear algebra.
  • They must be proficient in R and in one of the following: Python, Matlab or Julia.

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Vanja Dukic, Faculty
Email: vanja.dukic@colorado.edu

David Bortz, Faculty
Email: dmbortz@colorado.edu

Project Description

The 'Build-A-Bug' project will develop bio-inspired robots to engage elementary and middle school students—especially girls and underrepresented groups—in hands-on STEM learning. This project integrates biology, engineering, and computational thinking through an Out-of-School Time (OST) program, addressing gaps in traditional STEM education.
The DLA student will contribute to both curriculum development and research. Specifically, they will:
- Lead the robot design under the guidance of the PIs, refining prototypes for OST settings. They will use physical computing systems like mirco:bits and related sensors to program the robots. The robots will primarily be designed using low-cost paper origami materials.
- Support prototype testing by observing student interactions, documenting engagement, and identifying usability improvements.
This role offers hands-on experience in STEM education research, human-centered computing, and robotics design, contributing to broadening participation in STEM.

Requirements:

  • We prefer an ATLAS student with strong design skills and a passion for robotics and hands-on making.
  • An ideal candidate would have prior experience in digital fabrication, including 3D printing, laser cutting, and basic manufacturing techniques, to assist in prototyping the bio-inspired robots.
  • Familiarity with electronics, coding, and sensor integration would be a plus, as the role involves refining the robot designs for educational use in Out-of-School Time (OST) programs.

Desired Majors: Aerospace Engineering, Architectural Engineering, Biological Engineering, Biomedical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Ann Eisenberg, Faculty
Email: ann.eisenberg@colorado.edu

Srinjita Bhaduri, PostDoc
Email: srinjita.bhaduri@colorado.edu

Project Description

This project explores the intersection of computational typography and traditional letterpress printing through digital fabrication. Using 3D printing, laser cutting, and CNC routing, we will develop digital fabrication techniques to produce movable type for letterpress printing.
The DLA student will focus on designing, fabricating, and testing type forms. Their role includes:
  • Type Design: Creating digital letterforms and designs.
  • Fabrication: Preparing files and producing type blocks in wood, acrylic, or resin.
  • Testing & Iteration: Conducting inking and printing tests to refine alignment, durability, and print quality.
  • Material Exploration: Experimenting with fabrication techniques to enhance the tactile and visual qualities of prints.
This position provides a hands-on opportunity to engage with both emerging and traditional making methods, offering experience in typography, digital design, and fabrication workflows. Students with an interest in graphic design, type design, digital fabrication, or printmaking are encouraged to apply.

Requirements:

  • Must have experience with digital design software (Illustrator, Rhino, Blender, etc.).
  • Prior coursework or experience in digital fabrication, typography (ATLS 2300, Text), or printmaking is a plus.
  • Comfortable working with 3D printers, laser cutters, and CNC routers.

Website:

Desired Majors: Architectural Engineering, Computer Science, Creative Technology & Design, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Joel Swanson, Faculty
Email: joel.swanson@colorado.edu

Project Description

Our lab has invented a novel material, a vaporizable droplet, that can be used to detect radiation. This project will involve determining if/how the new material could be used for radiation dosimetry and radiation exposure monitoring. The project will involve synthesizing and characterizing vaporizable endoskeletal drops (VEDs) and conducting customer discover interviews with potential stakeholders who may be interested in using VEDs.

Requirements:

  • Should be between junior and senior year.
  • Flexibility to conduct laboratory work and interviews as needed by the project, including early mornings, evenings or weekends.

Website: /faculty/borden/

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Mark Borden, Faculty
Email: mark.borden@colorado.edu

William Frantz, Graduate Student
Email: william.frantz@colorado.edu

Project Description

Project Description: The Neu Lab is developing an osteochondral joint-on-chip system to study cartilage-bone crosstalk (CBC) in healthy and diseased states, with a focus on osteoarthritis (OA). This system integrates biomechanical and biochemical stimuli to mimic the joint environment, enabling the investigation of mechanical forces and inflammatory signals on cellular communication, tissue remodeling, and disease progression.
This summer project will focus on assessing how mechanical stimuli influence CBC using the osteochondral joint-on-chip system. The student will apply controlled mechanical loading on human-derived tissue constructs and analyze gene and protein expression. This work will address the need for lab-on-chip technologies that better mimic the dynamic mechanical and biochemical environment of human joints, overcoming the limitations of traditional in vitro models that fail to capture the complexity of joint biomechanics.
The student will gain hands-on experience in tissue culture, qPCR, ELISA, and confocal microscopy. This interdisciplinary project applies biomechanics and molecular biology to improve disease modeling and therapeutic development for OA.

Requirements:

  • Students interested in tissue engineering, regenerative medicine, or drug discovery are encouraged to apply.
  • Prior lab experience is preferred but not required.
  • Availability to work in two 5-hour blocks per week in the lab.
  • At least 15 hours of availability per week.

Website: /lab/neulab/

Desired Majors: Biomedical Engineering

Contact

Corey Neu, Faculty
Email: cpneu@colorado.edu

Shantae Gallegos, Graduate Student
Email: shantae.gallegos@colorado.edu

Project Description

Collisions and flows of wet particles occur in a variety of natural (e.g., avalanches, landslides) and industrial (e.g., filtration, particle coating) processes. To understand the properties of wet granular flows, it is important to investigate the microscale dynamics of two colliding particles using elastohydrodynamic simulations, which couple linear elasticity of the colliding solids with lubrication theory for the fluid between them.
The student will conduct numerical simulations of collisions between two particles covered with thin liquid layers, analyzing their behavior before, during, and after solid-solid contact (if any). The study will explore three key regimes: (1) when surface roughness is the dominant length scale for rebound, (2) when the elasticity length scale for deformation determines rebound behavior, and (3) where the roughness size and elasticity scale are comparable. These calculations will be used to test simplified models and propose refinements, with the goal of modified models of wet-particle collisions that are simple enough to use in efficient simulations of wet granular flows but sufficiently robust to capture the key microphysics.

Requirements:

  • This project requires prior knowledge in fundamental fluid physics and solid mechanics.
  • Prior experience with coding in Fortran/MATLAB/Python is preferred.
  • Furthermore, a basic understanding of calculus and linear algebra would help.
  • The student should be available to work in time blocks of at least 2 – 3 hours each.

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Robert Davis, Faculty
Email: robert.davis@colorado.edu

Souradeep Roychowdhury, Graduate Student
Email: souradeep.roychowdhury@colorado.edu

Project Description

Sodium-ion batteries (SIBs) are strong contenders for grid energy storage due to their high energy density, the abundance of sodium reserves, local supply chain, low cost, and environmentally benign nature, providing a scalable and environmentally friendly alternative to lithium-ion batteries (LIBs) (1). Advancements in SIBs could promote increased adoption of renewable energy and help speed up the clean energy transition. While state of the art SIBs have achieved technical competitiveness with LIBs, (1) challenges remain in understanding the design of novel electrolytes to meet the needs of several performance properties. One of the research gaps is understanding the electrolyte solvation structure under various electrolyte design conditions (2).
The undergraduate researcher will assist with characterizing various SIB electrolyte chemistries using small-angle x-ray scattering (SAXS). This will be achieved by working with the graduate student mentor in refining the existing process workflow for SAXS studies. Some project tasks include electrolyte preparation, data collection with the SAXS instrument to analyze the structure of these electrolytes, and data processing.

Requirements:

• Must be comfortable working in a wet lab environment with glove boxes (will be trained).
• Not required, but helpful if the student has taken a general chemistry course and plus if student has taken organic chemistry, as this project studies the fundamental structures of liquid electrolytes for batteries, which involves chemistry knowledge. The graduate student will mentor/teach the student on what they need to know to be a successful undergraduate researcher on this project!
• Some experience with any coding programs (i.e., Python, MATLAB) is also helpful but not required. Data analysis and data fitting of the experimental data can be more of a focus for the project for any students interested in this.
• Flexible schedule but being available to work in 2-3-hour blocks or longer is helpful for experimental work. Will work with the student on best scheduling.

Website: /lab/toney-group/research Literature (optional if interested and time for this when you’re doing undergraduate research): (1) Hirsh et al. Advanced Energy Materials 2020, 10 (32), 2001274. https://doi.org/10.1002/aenm.202001274. (2) Tian et al. Adv. Sci. 2022, 9 (22), 2201207. https://doi.org/10.1002/advs.202201207.

Desired Majors: Aerospace Engineering, Chemical Engineering, Computer Science, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Mike Toney, Faculty
Email: Michael.Toney@colorado.edu

Cindy Wong, Graduate Student
Email: cindy.wong@colorado.edu

Project Description

Microrobots have demonstrated significant potential in biomedical applications, including targeted drug delivery, microsurgery, and biomimetic systems. Recent advancements have shown that nano- and microscale colloidal particles can be propelled under external electric and magnetic fields, offering a remotely controllable, cost-effective, and easily tunable approach to micro-actuation. However, to navigate complex physiological and functional environments, the next generation of microrobots must possess adaptive morphing capabilities and versatile propulsion modes.
This project focuses on the synthesis and actuation of shape-morphing polymeric microparticles embedded with magnetic nanoparticles. These hybrid microparticles can undergo dynamic shape transformations and propel via multiple mechanisms under applied electric and magnetic fields. Such field-driven adaptability opens new possibilities for soft robotics, targeted cargo transport, and microfluidic actuation.
This work will provide insights into the fundamental principles of active matter systems and contribute to the development of next-generation microrobotic platforms with enhanced functionality.

Requirements:

  • Chemistry lab experience is strongly preferred. Computational coding/programming skills are helpful.
    The key objectives of this research are to:
    1. Develop a robust synthesis method for embedding magnetic properties into non-magnetic polymeric microparticles.
    2. Investigate the response of these microparticles to external electric and magnetic fields.
    3. Examine the influence of shape morphing on propulsion efficiency and directional control.
    4. Optimize field parameters to achieve controlled and programmable motion.

Website: /faculty/shields

Desired Majors: Biological Engineering, Biomedical Engineering, Chemical Engineering, Engineering Physics, Mechanical Engineering

Contact

Charles Shields, Faculty
Email: charles.shields@colorado.edu

Xingrui Zhu, PostDoc
Email: xingrui.zhu@colorado.edu

Project Description

Snowpack is an essential source of water in the Western United States and provides a natural store of water that is released throughout the warmer, drier months of the year. Decreased snowfall and milder winter temperatures are anticipated outcomes of climate warming. A decline in snow depth and a reduction in snow-covered areas pose an existential challenge for snow-adaptive species like the wolverine. This research seeks a highly motivated student to examine trends in the drivers of mountain snowpack, including meteorologic and topographic characteristics. The primary goal of this project is to model the influence of climate change on snow as a wayto identify potential habitat modifications and to inform U.S. Fish and Wildlife Services about different snow-adapted species of interest, including the Canada lynx, and North American Wolverine.
This project will require analytical skills, including proficiency in reading and interpreting scientific literature, statistical analysis, and extensive coding in Python to develop models, and process gridded datasets.

Requirements:

  • Junior, or Senior Standing. Experience with Python and GIS is preferred.
  • Some background in basic statistics.

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Civil Engineering, Computer Science, Electrical Engineering, Electrical & Computer Engineering, Environmental Engineering, Mechanical Engineering

Contact

Ben Livneh, Faculty
Email: ben.livneh@colorado.edu

Gillian Gallagher, Graduate Student
Email: gillian.gallagher@colorado.edu

Project Description

This research examines differences in innovation behavioral components (i.e., questioning, experimentation, observing, idea networking, and associational thinking) among our neurodivergent engineering students. This effort will be accomplished through an analysis of our existing survey data. This research is critical for preparing neurodivergent students to achieve their full potential in the workforce. As an undergraduate research assistant, you will play a key role in analyzing quantitative data and contributing to the qualitative phase of the study which includes conducting interviews. Our survey data indicated that 13% of students self-identified as neurodivergent, with an additional 19% possibly identifying as neurodivergent.
Key Responsibilities:
  • Assist in the analysis of quantitative data generated from pre- and post-surveys conducted in the study.
  • Conduct interviews with study participants, following ethical research guidelines.
  • Collaborate with the research team to synthesize findings and contribute to research publications.
  • Assist in the preparation of presentations and reports for dissemination of research findings.

Requirements:

  • Strong interest in innovative educational practices, neurodivergent experiences, and curriculum development.
  • Experience with data analysis, both quantitative and qualitative, is preferred.
  • Proficiency in survey software (e.g., Qualtrics) and data analysis tools.
  • Strong organizational skills, with attention to detail and accuracy.
  • Excellent written and verbal communication skills.
  • Ability to work both independently and collaboratively within a research team.
  • Previous research experience is a plus but not required.

Website: /faculty/bolhari/research-projects

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Azadeh Bolhari, Faculty
Email: azadeh.bolhari@colorado.edu

Angela Bielefeldt, Faculty
Email: angela.bielefeldt@colorado.edu

Project Description

Water reuse can address current and future water supply-and-demand gaps, yet water reuse projects have had mixed implementation success. This EPA-funded project analyzes regulatory, social, financial, organizational, and environmental factors and their combinations affecting the success or failure of water reuse projects nationwide. The DLA student will collaborate with a Ph.D. student to compile case studies of each project from interviews, project/policy documents, and contextual data. During the analysis, the DLA student will help qualitatively code data to each factor for each case study, and calibrate the presence and extent of factors in cases by assigning values for each factor for each case, using a qualitative analysis software. This work will contribute to a cross-case analysis using qualitative comparative analysis (QCA) that will enable us to determine the pathways, or combinations of factors, that enable successful water reuse implementation, and pathways leading to the failure of projects. The DLA student will gain crucial understanding of water reuse engineering as well as social qualitative research approaches to be poised as a multi-disciplinary problem-solver.

Requirements:

Expectations (either prior experience or interest in learning through the DLA position):
  • Interest in learning how social and regulatory policies, in addition to technologies, contribute to successful projects, including the analysis of qualitative data such as interview scripts, media articles, and policy documents.
  • Ability to read and interpret vast amounts of information on projects to collect information independently using various resources available (e.g., archives, census data, drought index data, EPA documents, project websites and media coverage).
  • Compile vast amounts of raw data in qualitative analysis software (e.g., NVivo), then consolidate data in Microsoft Excel, and subsequently work in QCA software (fsQCA 3.0 or the R QCA package) for final analysis.
  • Put together powerful presentations communicating our findings in Microsoft PowerPoint.
  • Regularly communicating with/updating the Ph.D. student and professors weekly on progress on various tasks.

Website: /lab/gpo/research-projects/sustainable-water-sanitation-and-hygiene-wash/understanding-and-unlocking

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Amy Javernick-Will, Faculty
Email: amy.javernick@colorado.edu

Prakriti Sardana, Graduate Student
Email: prakriti.sardana@colorado.edu

Project Description

We are looking for a student who could design an immersive virtual reality (VR) environment where users can navigate through a flooded scene and interact with the objects using a headset and touch controllers that we will provide. We anticipate this environment to be a digital representation of a town in Colorado. The student will also assist us in running experiments in the lab with human subjects. The goal of this research is to investigate differences and/or similarities among people of different backgrounds and prior experiences when faced with a flood scenario (i.e., how do they navigate to safety? how do they estimate water depth? ...).

Requirements:

  • The student must have prior experience with VR environments such as Unity, and be able to create 3D models and add user interaction features to the scene.
  • In addition, commitment to deliver the project on time, and being responsive to team inquiries are highly valued. We will be happy to add the student researcher to any publications and/or products that result from this work.

Website:

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Amir Behzadan, Faculty
Email: amir.behzadan@colorado.edu

Armita Dabiri, Graduate Student
Email: armita.dabiri@colorado.edu

Project Description

Freshwater salinization, once thought to affect only arid regions, is now recognized as a global issue impacting both arid and humid areas. Human activities like road deicers, sewage discharge, mining, oil production, industrial processes, fertilizers, concrete weathering, and water softeners contribute to this problem. Saltwater intrusion along coastlines, seen in Florida and California, is worsened by groundwater withdrawals. A recent Mississippi River drought, driven by climate change, led to decreased flow, increased salinity, and a saltwater wedge contaminating freshwater supplies, threatening nearly 5 million Louisiana residents. In fall 2023, President Biden approved an emergency declaration as the crisis made water south of New Orleans undrinkable. This research will examine freshwater salinization’s effects on drinking water quality and infrastructure, particularly corrosion control and DBP formation. Coupon immersion tests will assess lead, copper, and iron release under two CCT conditions, with both immediate and incremental salinity increases. The DLA student will participate in lab experiments and data analysis using R and excel.

Requirements:

  • Available for 3-5 blocks of time on MW or F.

Desired Majors: Aerospace Engineering, Civil Engineering, Environmental Engineering, Mechanical Engineering

Contact

Sheldon Masters, Faculty
Email: sheldon.masters@colorado.edu

Jennifer Liggett, Graduate Student
Email: jennifer.liggett@colorado.edu

Project Description

Legacy pipelines made of cast iron, wrought iron, and bare steel are responsible for a disproportionate number of gas leaks in the United States’ infrastructure system. Many systems have exceeded their intended design life with increasing vulnerability to failure. The Center for Infrastructure, Energy and Space Testing (CIEST) is investigating the performance of novel pipeline repair-in-place technologies which can be used to repair preexisting pipelines with a structural liner.
We are seeking a motivated and detail-oriented undergraduate student to assist with material characterization testing, primarily involving tension tests of the liner, and to analyze resulting data using MATLAB. In this role, you will perform hands-on experiments, carefully record data, and use MATLAB code to conduct thorough analyses. You will also be expected to prepare technical reports summarizing your procedures, findings, and recommendations. Ideal candidates are familiar with MATLAB and possess strong writing skills, allowing them to communicate complex results clearly and concisely.

Requirements:

  • Statics and basic structural analysis
  • Proficiency in Microsoft Excel
  • Skilled in SolidWorks and/or AutoCAD are all desired
  • Experience with MATLAB
  • Prior hands-on experience (e.g., carpentry, mechanic) would be helpful
  • Larger (3-4hr+) blocks of availability between/after class is helpful

Website: /center/ciest/

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Brad Wham, Faculty
Email: brad.wham@colorado.edu

Davis Holt, Graduate Student
Email: davis.holt@colorado.edu

Project Description

We are looking for a student researcher who could design and prototype a mobile application (Android or iOS) for estimating the depth of water in flood photos. We have already developed the algorithmic framework of this application and tested it using individual photos on a computer. The mobile app will allow the user to take a photo of a flooded sop sign, run an object detection model in the background, find the location of the photo in Google Maps using the longitude and latitude data of the phone, and calculate and display the depth of water. There is an optional feature that allows users to share their flood photos with others. More information can be found in this paper: https://dl.acm.org/doi/abs/10.1145/3557916.3567824

Requirements:

  • The student must have prior experience in mobile app programming and be familiar with object detection tools and algorithms. We expect this app to go live and be operational for disaster and emergency management applications, and as such, commitment to deliver the project on time, and being responsive to team inquiries are highly valued. We will be happy to add the student researcher to any publications and/or products that result from this work.

Website:

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Amir Behzadan, Faculty
Email: amir.behzadan@colorado.edu

Renooh Sivakumar, Graduate Student
Email: renooh.sivakumar@colorado.edu

Project Description

The Larson Laboratory is an HVAC-focused research facility in Architectural Engineering consisting of two testing chambers, each served with a separate air handling unit. Funding and industry partnerships are available to optimize the operation of the facility and integrate modern smart building components into the existing infrastructure. This project will focus initially on commissioning and optimizing the existing air- and water-side systems through repairs and equipment replacement, as well as evaluating control sequnce programming. The lab manager will support in coordinating with subconstractors as needed throughout the project, as well as training the research assistant to use a variety of instruments to measure building system operation and performance. After the systems are commissioned, smart building components from industry partners (e.g., Siemens) will be integrated into the existing system and commissioned to expand the capabilities of the facility.

Requirements:

  • Required Capabilities: This role will involve moving around in tight spaces, climbing ladders, using multiple instruments, and other physical, hands-on tasks.
  • Preferred Courses: Fluid Mechanics, Heat Transfer, System Dynamics (or other device control-related courses), any building design/operation-related courses.
  • Preferred Capabilities: Experience using Excel for data analysis, experience using sensors and microcontrollers (e.g. Arduino) or other device control platforms, basic understanding of building system design and operation.

Website: /ceae/larsonlab

Desired Majors: Aerospace Engineering, Architectural Engineering, Civil Engineering, Environmental Engineering, Mechanical Engineering

Contact

Moncef Krarti, Faculty
Email: moncef.krarti@colorado.edu

Nicholas Clements, Professional Research Assistant
Email: nicholas.clements@colorado.edu

Project Description

In the past 100 years, the global construction sector has relied upon a monoculture of energy- and carbon-intensive materials, namely concrete, steel, and masonry. To reach the global net-zero emissions goal by 2050, a paradigm shift towards sustainable and circular construction is critical. There has recently been renewed interest in earthen building materials, driven by a seemingly endless global supply of earth and new insights into their beneficial economic, environmental, and structural characteristics. Despite the clear advantages of earth materials, adoption has been limited by their low mechanical and durability properties. To improve these properties, the addition of biopolymers derived from nature (e.g. cellulose, alginate) has been shown to be an effective and sustainable solution. Within this project you will explore new sources of biopolymer additives, characterizing their structural properties, exploring how interact with lunar and martian minerals, and testing their mechanical properties, to determine the composition-structure-property relationships of biopolymer-stabilized earthen materials for extraterrestrial construction in the 21st century.

Requirements:

  • Working in two 5-hour blocks would be ideal.
  • Lab experience would be ideal.

Website:

Desired Majors: Aerospace Engineering, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Creative Technology & Design, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Wil Srubar, Faculty
Email: wsrubar@colorado.edu

Samuel Armistead, PostDoc
Email: samuel.armistead@colorado.edu

Project Description

As technological advancements improve water distribution systems’ ability to accommodate significant ground deformations associated with earthquakes, fault rupture, landslides, liquefaction-induced lateral spreading and other natural hazards, municipalities and pipeline designers need a systematic method to classify the seismic response and capacity of new and developing pipeline systems. CIEST performs tests on 6-in. diameter PVC pipelines with several different mechanically restrained joints, with the intent to categorize the response of each PVC pipeline system into seismic performance classes. The student will help conduct full scale testing on these systems, and assess the test results to help identify its seismic performance classification. The scope of testing includes axial tension, axial compression, axial cyclic, bending, and biaxial loading. Hands-on laboratory experience will be gained through full-scale tests, including component design, construction, and wide range of instrumentation. The student will have the opportunity to analyze collected data, aggregate results, and aid in report preparation, including potential authorship on technical reports and publications.

Requirements:

  • Statics and basic structural analysis; proficiency in Microsoft Excel
  • Skilled in SolidWorks and/or AutoCAD are all desired
  • Experience with MATLAB is also preferred
  • Prior hands-on experience (e.g., carpentry, mechanic) would be helpful
  • Larger (3-4hr+) blocks of availability between/after class is helpful

Website: /center/ciest/

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Brad Wham, Faculty
Email: brad.wham@colorado.edu

Davis Holt, Graduate Student
Email: davis.holt@colorado.edu

Project Description

Rebuilding post-wildfire has long-lasting ramifications for the community and environment. The resilience of rebuilt homes to guard against future fires and the environmental sustainability of rebuilt homes to mitigate the effects of global warming are of particular importance. The student on this project will help determine sustainability and/or resilience outcomes of rebuilt homes following the Marshall Fire, which occurred in 2021 and destroyed over 1000 homes in Boulder, CO. The student may also investigate factors influencing these outcomes, such as informal groups, organizations, and regulations. Data collection for these investigations may include site visits, phone calls/emails, web searches, and pulling information from building permits. Data analysis may consist of quantifying sustainability and/or resilience outcomes into meaningful metrics, comparing them against benchmarks, and assessing rebuilding trends. The student will read some academic literature to carry out the data collection and analysis better. The student will attend weekly meetings with the research groups and the PhD student mentor and regularly communicate with team members.

Requirements:

  • While graduate student and faculty mentors will advise the student, the student should be self-motivated, resourceful, and interested in learning more about sustainability and resilience in the built environment.

Website: /lab/gpo/about#accordion-1793596046-1

Desired Majors:

Contact

Amy Javernick-Will, Faculty
Email: amy.javernick@colorado.edu

Noah Gershon, Graduate Student
Email: noah.gershon@colorado.edu

Project Description

The SCOUT Mission -Satellite Collision Observation and Unified Tracking- will test event-driven sensors, also known as neuromorphic cameras, for dynamic object tracking, space situational awareness and collision avoidance. This project is part of the Colorado Space Grant Consortium (COSGC) CubeSat initiative, so students will be involved in the development of a CubeSat to be launched in 2027.
One student will be assigned to the Sensors subteam and will test event-driven sensors to optimize object tracking and recognition, and become the subject-matter expert on this type of sensors. This position includes both software and hardware, since image analysis will be an important aspect of the research.
One student will be assigned to the Avionics subteam and will develop the electronics module, manage the power, and select the main computer or CubeSat brain to collect and transmit data.
One student will be assigned to the Communications subteam and will work on all aspects of satellite communication to prepare the CubeSat to transmit data to our ground station.

Requirements:

  • Willingness to work in a multidisciplinary and diverse team and learn new things on their own.

Website: /center/spacegrant/

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Veronica Corral Flores, Faculty
Email: vcorral@colorado.edu

Barbra Sobhani, Faculty
Email: barbra.sobhani@colorado.edu

Project Description

Climate change impacts on local environments are complex and often the intersection of many scientific and engineering disciplines. Stress on environmentally sensitive areas, native plant and animal species decline, and ever dwindling wildlife corridors and loss of suitable habitat create conflict when it comes to the protection of these areas and policymaking local governments. Students will focus on integrating field measurements with remote sensing for prediction of crop yield, drought, and stress on sensitive habitats, leading to better prediction and prevention of long-term climate change impacts. We will develop a novel portable multispectral sensing system that will provide high-spatial resolution soil moisture, plant stress, vegetation, wind speed and surface temperature data at low cost, minimal operational and training requirements. Satellite data and drone-based measurements will be used for validation and will be incorporated to select and monitor the areas of interest. Ways to engage the public will include creating a citizen science data collection component, providing access to low-cost DIY instruments and a friendly UI.

Requirements: None.

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Barbra Sobhani, Faculty
Email: barbra.sobhani@colorado.edu

Project Description

GLEE is a scientific and technological mission that is developing small and inexpensive sensor packages (LunaSats) that can be deployed on the surface of the Moon, in order to provide a platform for students from around the world to actively do lunar science (https://www.glee2023.org/). Lunasats will be deployed as a mesh network for distributed sensing, using radio frequency (RF) for communication. They are based upon an easily accessible and open source architecture (Arduino) and standard sensors and preparing such systems for lunar deployment requires extensive testing. This phase of development is focusing on the reliability of the accelerometer for moonquake detection and the reliability of RF communication, requiring additional Lunasat production (v7.1). The science sub-team will comparing standard seismometers with the Lunasat detection network. GLEE is a unique opportunity for students to work on a lunar mission, developing and testing hardware to be flown on a lunar flight in 2028. GLEE provides access to undergraduate research that will be presented at a professional conference as well as a statewide undergraduate research symposium.

Requirements: None.

Website:

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Barbra Sobhani, Faculty
Email: barbra.sobhani@colorado.edu

Project Description

GLEE is a scientific and technological mission that is developing small and inexpensive sensor packages (LunaSats) that can be deployed on the surface of the Moon or other planetary bodies, in order to provide a platform for students from around the world to actively do lunar science (https://www.glee2023.org/). Lunasats will be deployed using an autonomous rover, as a mesh network for distributed sensing, using radio frequency (RF) for communication. They are based upon an easily accessible and open source architecture (Arduino) and standard sensors and preparing such systems for lunar deployment requires extensive testing. This phase of development is focusing on prototyping and testing a robotic deployment system for the LunaSats. Students will work on adapting an autonomous rover, navigating with computer vision, to safely deploy the sensor network in a remote location.

Requirements:

  • Some robotics experience preferred.

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Barbra Sobhani, Faculty
Email: barbra.sobhani@colorado.edu

Project Description

Honeybee swarms, made up of a queen bee and thousands of workers, hang suspended from structures in nature for periods ranging from hours to several days while they search for a new hive. During this time, the swarm is subject to wind, rain, and temperature changes. While external observations of honeybee swarms (e.g., contraction and expansion in cold and warm temperatures, respectively) are well-documented, the internal dynamics driving these morphological changes remain elusive. We use timelapse X-ray computed tomography to capture the swarm’s 3D internal structure and track the movement of individual bees in response to environmental perturbations, aiming to reveal how the local behavior of individual bees drives global, adaptive morphological changes. This project will involve data analysis and modeling, integrating concepts from physics, computer science, applied mathematics, and engineering.

Requirements:

  • Experience with Python (or Matlab) for image processing, computer vision (traditional or ML-based), and coursework through physics 2 and multivariable calculus will be relevant for the project.

Website:

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Orit Peleg, Faculty
Email: orit.peleg@colorado.edu

Danielle Chase, PostDoc
Email: danielle.chase@colorado.edu

Project Description

Modern software systems --- whether they are web, mobile, distributed, or AI-driven --- are complex. This project aims to investigate techniques to algorithmically reason about modern software systems to witness bugs or prove their absence.

Requirements:

  • Students must be fluent in at least one programming language and interested in state-of-the-art programming language techniques (e.g., strong type systems and functional programming patterns as in Rust, Scala, etc.).

Desired Majors: Applied Mathematics, Computer Science, Electrical & Computer Engineering

Contact

Evan Chang, Faculty
Email: evan.chang@colorado.edu

Project Description

This is an NSF-funded project that aims to build a a probabilistic programming framework for expressing hybrid system models. Hybrid systems combine the continuous-time evolution of state with instantaneous state and mode changes through discrete actions. Probabilistic Programming Languages (PPLs) support inference over these programs (models) to find posterior distributions over the unknown parameters given some observation data. Hybrid systems have been widely studied as models of Cyber-Physical Systems. However, there has been little work on probabilistic programming for hybrid systems although such a framework would have important applications to many areas including epidemiology, medical devices and autonomous systems. The proposed work aims to (1) develop a probabilistic programming language and semantics for hybrid probabilistic programming; (2) build model transformations and simplification tools in order to support faster inference; and (3) develop inference algorithms that will exploit the model transformations along with formal verification techniques. The student will work on part (3): verifying symbolic transformations of ODEs in Coq theorem prover.

Requirements: None.

Desired Majors: Applied Mathematics, Computer Science, Electrical & Computer Engineering

Contact

Gowtham Kaki, Faculty
Email: gowtham.kaki@colorado.edu

Sriram Sankaranaryan, Faculty
Email: srirams@colorado.edu

Project Description

The Longley-Rice and ITWOM radio propagation models are commonly used to calculate signal strength for radio transmissions. Existing open source programs are slow and use algorithms from the 1960s. The goal of the project is to explore using GPU based parallel methods to provide near real time calculation of coverage of a transmitter.

Requirements:

  • Requires programming experience in C or C++ and an interest in learning programming the GPU in CUDA or OpenCL.
  • An interest in radio propagation, physics and similar topics would be a plus.

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Willem Schreuder, Faculty
Email: vlakkies@colorado.edu

Project Description

The DLA student will read "An Aperiodic Monotile" from Combinatorial Theory, 2024. The paper introduces a single shape that can tile the plane without producing any translational periodicity. Translational periodicity refers to a property of a pattern whereby there exists a non-zero translation vector v such that when the entire pattern is translated by v, it remains unchanged. An aperiodic monotile is sometimes called an "einstein" (German "ein Stein" meaning "one stone"). The paper details both the geometric construction of the tile and the proof that no translation vector exists which would map the tiling onto itself. This proof hinges on analyzing the local configurations and demonstrating that any finite patch of tiles cannot be extended periodically.
Concretely, the student will also need to understand Python code and modify it as needed. One can consider implementing the tiling algorithm using libraries such as Shapely (for computational geometry), Matplotlib (for visualization), or even using NumPy and SciPy. This approach would let one recreate the tiling rules and matching conditions described in the paper and beyond.

Requirements:

  • Student should be sufficiently proficient in Python and be willing to self-learn using libraries.
  • Also some mathematical maturity, i.e., having problem solving skills, abstract thinking, and independent learning.

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Divya Vernerey, Faculty
Email: divya.vernerey@colorado.edu

Project Description

This project explores the use of modern SAT/SMTsolvers on high-performance computing (HPC) platforms. The research aims to identify how solver performance scales under different HPC configurations and to develop benchmarks that clarify the advantages and trade-offs of each environment.
Role of the DLA Student
  • Background Research: The student will begin by studying the fundamentals of SAT/SMT solvers and reviewing current state-of-the-art tools.
  • HPC Environment Setup: Working closely with the mentor team, the student will help configure and optimize solver execution on CU’s HPC infrastructure, exploring techniques for running solvers efficiently on both CPUs and GPUs.
  • Benchmarking and Analysis: After setting up the environment, the student will design and conduct benchmark experiments to compare solver performance, documenting strengths, weaknesses, and resource requirements.
  • Problem Formulation and Application: In the latter phase, the student will collaborate with faculty and graduate mentors to select candidate problems relevant to ongoing lab research (e.g., quantum computer architecture challenges). They will reduce these problems to SAT/SMT formulations and

Requirements:

Required Qualifications:
  • Solid programming background
Preferred Qualifications:
  • Prior knowledge of Boolean Satisfiability (SAT)
  • Completion or enrollment in an algorithms course
  • Familiarity with quantum computing
We encourage undergraduates interested in quantum computing to consider enrolling in "Intro to Quantum Programming," offered by Dr. Ramin Ayanzadeh in Fall 2025 (special topic).
For more information, please contact the following graduate students:
  • Nicholas Papadopoulos (Nicholas.Papadopoulos@colorado.edu)
  • Vinay Rajesh (Vinay.Rajesh@colorado.edu)
  • Shipra Singh (Shipra.Singh@colorado.edu)

Desired Majors: Applied Mathematics, Computer Science, Electrical Engineering, Electrical & Computer Engineering

Contact

Ramin Ayanzadeh, Faculty
Email: ayanzadeh@colorado.edu

Project Description

You will be part of an active research team of undergrads, grad students and faculty who
work on development of novel ML algorithms for the analysis of data from several currently operating NASA satellites. These include atmospheric lidar and radar data from the Cloudsat/CALIPSO Mission, ICESat-2 lidar-altimeter data and satellite image data, such as WorldView, or modern commercial satellite data. We study glaciers and ice sheets, wildfires and aerosols, and sea ice.

Requirements:

  • Students need to have strong skills in computer science and mathematics, including numerical computation/coding in python. AI/ML courses are a plus, as is remote sensing.
  • Interest or previous knowledge in snow and ice sciences or geosciences is helpful. This can be your minor or learned on the job.
  • Student must at least be third year students/have junior level standing.

Desired Majors: Aerospace Engineering, Applied Mathematics, Civil Engineering, Computer Science, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering

Contact

Ute Herzfeld, Faculty
Email: ute.herzfeld@colorado.edu

Thomas Trantow, PostDoc
Email: thomas.trantow@colorado.edu

Project Description

Honeybees construct wax comb in a distributed fashion, with many bees building the structure simultaneously and without longterm planning. This results in irregular hexagons and topological defects in areas where unaligned comb is combined. We will investigate how the the comb is constructed over time using time series data of honeycomb built on 3D-printed experimental frames with a variety of constraints imposed. Previous research looked at the geometric patterns formed and found repeating patterns emerge in the completed comb, and replicated these patterns in a computational crystallography model. This project seeks to track the day-to-day development of the comb structure and cell shapes. Knowledge of how cells and defects evolve over time will inform a temporal model of distributed construction. This project primarily involves image processing, data analysis, and model development. The project will integrate concepts from computer science, physics, applied math, and engineering.

Requirements:

  • Mathematical skills and some coding experience (Python preferred) is required.
  • Experience with image processing, data analysis, or modeling is relevant but not required.

Website:

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Orit Peleg, Faculty
Email: orit.peleg@colorado.edu

Richard Terrile, Graduate Student
Email: richard.terrile@colorado.edu

Project Description

Amongst Northern American firefly species, only 3 have been shown to have synchronous communication. However, the dynamics of synchrony can be hard to define from both a spatial and temporal perspective. We are interested in investigating the potential for "pocket synchrony", a phenomenon where small groups of isolated individuals within a seemingly asynchronous swarm engage in synchronous activity for a finite time. Such a phenomenon has only been observed by field researchers, but has not been formally quantified. We have developed a basic mathematical framework to quantify aspects of this behavior, and implemented these ideas into proof-of-concept scripts in Python & Matlab.
We are looking for a DLA student to continue this project under the supervision of the graduate student who developed the methods. Specifically, we'd like to implement these techniques on data from other firefly species we've collected from across the country. This research project will involve heavy use of programming skills in either Matlab or Python, and will likely require some Bash scripting and data management.
Interested students should email nolan.bonnie@colorado.edu for more information.

Requirements:

  • Strong proficiency in either Python or MATLAB (experience with both is a plus).
  • Experience writing and working within a larger codebase (e.g., debugging, scripting, version control).
  • Some familiarity with Bash scripting for data processing and automation.
  • Willingness to engage in the mathematical background of the work.
  • An understanding of dynamical systems, or signal analysis is a plus.
  • Willingness to learn new techniques and engage in problem-solving independently.
  • Prior experience working with scientific computing libraries (NumPy, Pandas, MATLAB toolboxes) is beneficial.
  • Interest in biological systems, fireflies, or complex systems analysis is a plus but not required.

Desired Majors: Aerospace Engineering, Applied Mathematics, Biological Engineering, Computer Science, Electrical & Computer Engineering, Engineering Physics, Mechanical Engineering

Contact

Orit Peleg, Faculty
Email: orit.peleg@colorado.edu

Nolan Bonnie, Graduate Student
Email: nolan.bonnie@colorado.edu

Project Description

This project aims to design and set up a phased array system measurement for spectrum sharing and radio systems coexistence applications. The project execution will train undergrad students in antenna range specification and calculation, equipment selection, experiment setup, and programming measurement routines in MATLAB. Also, the project intends to develop their initial skills on radio system architecture analysis, radiofrequency component design and integration, interface design, mechanical implementation, RF measurements sanity check and testing routines, and results reporting.
An electrical engineer specialized in phased arrays measurements is well equipped to work with RF circuitry, antenna design, beamforming algorithms, microwave engineering, and electromagnetic simulation tools. The professional will explore the initial concepts to pursue various roles, including Antenna Design Engineer, focusing on phased array antennas; RF Engineer, developing circuits and systems; Wireless Communications Engineer, optimizing networks using these technologies.

Requirements:

Desirable skills of the prospective undergrad student.
Electrical engineering:
• Analog design
• PCB design
• RF comm design
• Antenna design
• Microcontroller and firmware
• Hands-on prototype construction
• Power management
Software engineering:
• User interface design, Web dashboard development
• Python, Matlab
Mechanical engineering:
• SolidWorks
• 3D printing
• Components integration and overall mechanical design
Soft skills
• Project management  principles
• Product design flow principles
• Good communications
• Documentation, presentation
• Well-versed in technical writing and drawing  
• Creative thinking and a keen sense of imagination  
• Operates well in a team-based environment  
• Open-mindedness to constructive feedback
• Effective at collaborating with other engineers and teams

Website: /faculty/popovic-zoya/research

Desired Majors: Computer Science, Electrical Engineering, Mechanical Engineering

Contact

Laila Fighera Marzall, Faculty
Email: laila.marzall@colorado.edu

Zoya Popovic, Faculty
Email: zoya.popovic@colorado.edu

Project Description

We are pushing the envelope by looking into high frequency digital circuit applications where signal harmonics start to excite multiple dielectric slab TM and TE resonances. These resonance modes generate intense surface modes in top and bottom layers of PCB stacks. Consequently, PML performance suffers even with large buffer zones. It is well known that Frequency-Shifted PML is required for efficient surface wave (evanescent wave) absorption. We are looking for an undergraduate student to conduct research on generating specific dielectric slab modal source distributions (using Green’s function-based analysis) for the purpose of testing PML and frequency-shifted PML performances. The hope is to come up with simple PML design tools which are specific to such an application. Successful results would allow much more efficient computational electromagnetics simulations, in terms of reduced memory use and shorter run time.

Requirements:

  • Helpful to have Electromagnetics and/or Physics background.
  • 1 -2 hour meeting a week and communication by discord and email.

Desired Majors: Aerospace Engineering, Applied Mathematics, Biomedical Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics

Contact

Melinda Piket-May, Faculty
Email: melinda.piket-may@colorado.edu

Mohammad Hadi, Graduate Student
Email: Mohammed.hadi@colorado.edu

Project Description

This project will result in a small circuit board that will interface with a variety of microcontroller boards with a high-end ADC, DAC, opAmps, a DDS, and MOSFET devices. It will enable the creation of a complete laboratory of software defined instruments (SDI) in the palm of your hand, including: a microvolt level strip chart recorder, an EKG and EMG monitor, a precision frequency counter, an electronic eload, an impedance analyzer, a Bode analyzer, a micro ohm meter, an I-V and transistor curve tracer and an isothermal resistance meter, among other devices.

Requirements:

  • Have taken ECEN 2250, ECEN 2270.
  • Experience with oscilloscopes is a plus.
  • Experience with an Arduino or other microcontroller is a plus.

Website: /faculty/bogatin/

Desired Majors: Biomedical Engineering, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering

Contact

Eric Bogatin, Faculty
Email: eric.bogatin@colorado.edu

Project Description

Existing ultrasound transducers used in photoacoustic microscopy (PAM) have limited detection bandwidths, typically below 100 MHz, restricting axial resolution and detection sensitivity. To overcome this limitation, we have developed a novel chalcogenide microring resonator (MRR) ultrasound transducer with a detection bandwidth exceeding 300 MHz.
The DLA student will work with the PI and a graduate student to implement the Pound-Drever-Hall and self-injection locking mechanisms to stabilize the MRR resonance frequency and minimize environmental fluctuations. These two new detection mechanisms of the MRR ultrasound transducer will ensure long-term stability that is critical for maintaining the detection sensitivity in time-lapse measurements. The DLA student will work with the PI and a graduate student to fully characterize these two new detection mechanisms and compare and contrast them.

Requirements:

  • The DLA student should be available to work in two 5-hour blocks.
  • The DLA student should have basic knowledge about feedback control, photodetector, oscilloscope, electrical spectrum analyzer, optical fiber, and diode laser.

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Shu-Wei Huang, Faculty
Email: shuwei.huang@colorado.edu

Project Description

Control Barrier Functions (CBFs) are a new approach for enforcing constraints (e.g. a car staying below the speed limit or a robot not pushing too hard against an object). In this project, we want to test a new approach for the design and implementation of CBFs.
WHAT IS PROVIDED:
1. Students will be taught some basics of constrained control theory and convex optimization.
2. Students will be given existing MATLAB code for implementing CBFs on simple system
WHAT IS REQUIRED:
1. Willingness to learn/apply new math. The project builds upon basic concepts in linear algebra and differential equations, so a good understanding of these tools will be very helpful.
2. Ability to code in MATLAB. You will be given well-commented and well-structured MATLAB code and will be tasked with adding new functionalities to the code.
By the end of the DLA, the student should generate simulations of a point-mass system that moves to a given target while satisfying restrictions on position, velocity, acceleration, and (possibly) force interaction with other objects.

Requirements:

  • Required: Calculus 1 and 2
  • MATLAB coding experience
  • Preferred: Linear Algebra
  • Differential Equations

Desired Majors: Aerospace Engineering, Applied Mathematics, Computer Science, Electrical Engineering, Electrical & Computer Engineering, Mechanical Engineering

Contact

Marco Nicotra, Faculty
Email: marco.nicotra@colorado.edu

Victor Freire, Graduate Student
Email: victor.freiremelgizo@colorado.edu

Project Description

This project is working to develop computational infrastructure for archaeological data management, with a specific focus on human skeletal data. In particular, the student on this project will be exploring data science methods to extract novel hypotheses from the data, with a focus on TensorFlow and related tools. This project is a collaboration between the Electrical and Computer Engineering Department and the Department of Anthropology.

Requirements:

  • Students should be confident in the Python programming language and comfortable learning new programming tools and languages.
  • Recommended prerequisites for this position include CSCI 2270 (Data Structures) and ECEN 2360 (Programming Digital Systems) or CSCI 2400 (Computer Systems).
  • Background in Data Science or Machine Learning is useful.

Desired Majors: Applied Mathematics, Biomedical Engineering, Computer Science, Electrical Engineering, Electrical & Computer Engineering

Contact

Joseph Izraelevitz, Faculty
Email: joseph.izraelevitz@colorado.edu

Lauren Hosek, Faculty
Email: lauren.hosek@colorado.edu

Project Description

The Myers research group at the University of Colorado Boulder is developing a comprehensive plan for storing and sharing data for the Army Center for Synthetic Biology. This digital backbone will be composed of an instance of the SynBioHub data repository, and it will be coupled to various software tools via its API to both curate data being generated by the other participants, as well as provide easy access to participants for further analysis. The software tools used will include Cello, iBioSim, SynBioSuite, Excel2SBOL, Synbict, among others. The digital backbone will be connected to experimental data storage systems (BioMADE, Flapjack and Experimental Data Depot). Robust data management practices are crucial to promote a reproducible design-build-test-learn (DBTL) cycle for synthetic biology (SynBio) applications. These data management practices are built upon a set of software tools to capture information, data standards to encode the information in machine-readable formats, and digital repositories to support data sharing. The DLA student on this project will be testing and refining this workflow using data from our collaborators.

Requirements:

  • Experience with software languages such as Python and/or Javascript would be beneficial.

Website:

Desired Majors: Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Chris Myers, Faculty
Email: chris.myers@colorado.edu

Carolus Vitalis, Graduate Student
Email: carolus.vitalis@colorado.edu

Project Description

We would like to recruit a few undergraduate students to help develop automated photonic integrated circuit characterization setups. The neural network will be built and trained using Python, then deployed using Moku:Pro (https://liquidinstruments.com/neural-network/) to achieve low-latency inference and react quickly to changing experimental conditions.

Requirements:

  • Experience in FPGA programming
  • Experience in neural network

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Shu-Wei Huang, Faculty
Email: shuwei.huang@colorado.edu

Project Description

Your main role in this project will be helping with analysis of GPS/GNSS data for geolocation of data collected with the Glacier Roughness Sensor (GRS). The GRS is an instrument that collects data over snow and ice fields, while being pulled by a touring skier or snowshoer. It has mechanical operation, electronic registration and geolocation using GPS/GNSS. The GRS exists, but you will update its electrical components. You will work as part of a research group that collects test data over snow and ice fields in the Colorado Front Range, and learn to analyze the field data in the context of Satellite Observations, while learning about snow and ice science.

Requirements:

  • Student must have taken courses in GPS/GNSS. and remote sensing.
  • Courses in signal processing are helpful.
  • Student also needs to have strong skills in coding/computation.
  • Interest or previous knowledge in snow and ice sciences or geosciences is helpful. This can be your minor or learned on the job.
  • Student must at least be third year students/have junior level standing.

Desired Majors: Aerospace Engineering, Applied Mathematics, Computer Science, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Mechanical Engineering

Contact

Ute Herzfeld, Faculty
Email: ute.herzfeld@colorado.edu

Thomas Trantow, Research Associate
Email: thomas.trantow@colorado.edu

Project Description

Your main role in this project will be helping with the electrical engineering components of the Glacier Roughness Sensor (GRS). The GRS is an instrument that collects data over snow and ice fields, while being pulled by a touring skier or snowshoer. It has mechanical operation, electronic registration and geolocation using GPS/GNSS. The GRS exists, but you will update its electrical components. You will work as part of a research group that collects test data over snow and ice fields in the Colorado Front Range, and learn to analyze the field data in the context of Satellite Observations, while learning about snow and ice science.

Requirements:

  • Student must have strong skills in electrical engineering, building electrical components, connecting data registration to computer registration and analyzing data/signals.
  • Student also needs to have strong skills in coding/computation.
  • Interest or previous knowledge in snow and ice sciences or geosciences is helpful. This can be your minor or learned on the job.

Desired Majors: Aerospace Engineering, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics

Contact

Ute Herzfeld, Faculty
Email: ute.herzfeld@colorado.edu

Thomas Trantow, Research Associate
Email: thomas.trantow@colorado.edu

Project Description

There is a need to revisit the well-known (4 pi) factor which appears in such formulas as those describing electric potential or electric field due to a charge distribution. This need arises when dealing with digitized spaces in numerical simulations. In certain applications it affects the digital space’s impulse response, how sources are implemented, and how waves propagate into unbounded digitized space, among many other applications. A method has been developed in a previous DLA project. This proposed topic is to implement this method into practical applications and simulation tools to popularize its use within scientific and commercial communities.

Requirements:

  • Helpful to have ElectroMagnetics (EM) or Physics Background

Desired Majors: Aerospace Engineering, Applied Mathematics, Biomedical Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics

Contact

Melinda Piket-May, Faculty
Email: melinda.piket-may@colorado.edu

Mohammad Hadi, Graduate Student
Email: Mohammed.hadi@colorado.edu

Project Description

We would like to recruit an undergraduate student to help develop a long-term stabilization system for our group’s newly invented counterpropagating all-normal dispersion dual-comb fiber laser. The system will include a proper design of laser enclosure (to isolate temperature, humidity, vibration, ...) for passive stabilization and an active feedback control of key laser components.

Requirements:

  • Experience in FPGA programming
  • Experience in feedback control

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Shu-Wei Huang, Faculty
Email: shuwei.huang@colorado.edu

Project Description

Synthetic biology has the potential to lead to new or more efficient production of medicines, fuels, and other important compounds. Crucial to the success of synthetic biology is effective standards for the storage and sharing of genetic design knowledge between researchers and institutions. This project will develop SynBioHub3, an interactive data repository that will accelerate the pace of discovery and innovation for this critical emerging field. The DLA student on this project will work on testing and documentation for SynBioHub3.

Requirements:

  • Experience with programming with Python, Java, and/or Javascript would be beneficial.

Website:

Desired Majors: Applied Mathematics, Biological Engineering, Biomedical Engineering, Chemical Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Chris Myers, Faculty
Email: chris.myers@colorado.edu

Daniel Fang, Graduate Student
Email: daniel.fang@colorado.edu

Project Description

This project investigates "street smarts" among engineering alumni, bridging academic engineering education and “real-world” challenges by identifying competencies required to apply technical and H&SS coursework to achieving effective, ethical outcomes in engineering workplaces.
DLA students will engage in, 1) training in human subjects research, interview methodologies, and research design, 2) conducting alumni interviews, 3) analysis, and 4) writing and presentation of findings. Based on this inquiry project, DLA researchers will also articulate recommendations for the Engineering Leadership Program’s curricular and program development so that ENLP can continue to innovate in response to alumni's insights.

Requirements:

  • Students must have taken at least one ENLP course and must be available about 5 hours/week in both Fall and Spring Semesters.
  • Preference given to rising juniors and rising sophomores.

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Angela Thieman Dino, Faculty
Email: angela.thieman@colorado.edu

Project Description

Macromolecular phase separation (PS) is a process by which proteins and other macromolecules spontaneously condense into high-concentration drops within the cellular milieu. The molecular drivers of such cohesive interactions are not typically well understood. PS is thought to be responsible for the formation of membrane-less organelles, including the nucleolus and stress granules. PS, especially its misregulation, has been shown to be important for a range of diseases. We hypothesize that using the predicted conservation, or lack thereof, of phase separation across fungi will aid in the identification of phase separating proteins and the effects of mutations on phase separation.
In this project, the student will use molecular biology tools, specifically PCR and cloning to create plasmids expressing fluorescently tagged proteins. The student will then transform these plasmids into yeast, grow the cells, and then use fluorescent microscopy to image the localization of proteins and determine their PS potential. If the student is interested, this experimental work can be complemented by computational work to identify target proteins by machine learning techniques.

Requirements:

  • This project requires prior background in basic molecular biology techniques, have taken coursework on in cellular and molecular biology, and understand the basics of protein functions. Direct experimental expertise is preferred, but optional.
  • Students wishing to also work on the computational portion must have the relevant background, including coding in Python.
  • Student must have at least 3-hour blocks of time to perform experiments, and some flexibility in scheduling to accommodate yeast growth.
  • There is a possibility of a second computationally focused student as well.

Desired Majors: Biological Engineering, Biomedical Engineering, Chemical Engineering, Computer Science, Engineering Physics, Environmental Engineering

Contact

Loren Hough, Faculty
Email: loren.hough@colorado.edu

Project Description

Engineered living materials are revolutionizing the biomaterials field. By combining the fields of materials science with synthetic biology, it is possible to create sustainable living systems that can sense and respond to stimuli of the surrounding environment.
This project aims to leverage 3D bioprinting technology to engineer functional living constructs designed for advanced biosensing applications.
Biocompatible hydrogel-based formulations for 3D bioprinting will be developed, and characterized in terms of rheological, mechanical and structural properties to optimize printability and stability.
Living microorganisms will be embedded into a hydrogel matrix to formulate a living bioink. Proliferation and retention of embedded cells within 3D printed constructs will be assessed overtime through standard viability assays and advanced imaging techniques.
Finally, the 3D living constructs will be characterized of for a wide range of stimuli, thus paving their way as a versatile platform for advanced applications for the built environment.

Requirements:

  • Exposure to biomaterials, biofabrication and rapid prototyping preferred but not required.

Website:

Desired Majors: Aerospace Engineering, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Creative Technology & Design, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Wil Srubar, Faculty
Email: wsrubar@colorado.edu

Cheng Pau Lee, PostDoc
Email: chengpau.lee@colorado.edu

Giulia Brachi, PhD
Email: giulia.brachi@colorado.edu

Project Description

Patients experiencing end-stage kidney disease need continuous dialysis treatments to live. It requires large amounts of energy and water, relies on public infrastructure, and is vulnerable to extreme weather events. With increasing extreme weather threats, dialysis treatment needs to be more resilient so patients retain access to almost daily treatments. You will use quantitative sustainable design methods to identify the most resilient dialysis modality (hemodialysis or peritoneal dialysis, at home or in a center). You will use life cycle assessment methods to quantify metrics of energy use, water use, and carbon footprint by collecting data on the types and amount of materials and energy used to produce and use medical equipment. You will create digital twins based on a large range of representative patients (and dialysis prescriptions) to evaluate the metric of patient health. With each digital twin, we will evaluate all four metrics, for each modality, over a range of extreme events (e.g., flooding, power loss, supply chain failure) to identify the most resilient modality based on patient type and extreme event. You will use Excel for the mass and energy balances (algorithms).

Requirements:

  • Student must understand basic mass and energy balances.
  • Junior or Senior standing.

Desired Majors: Aerospace Engineering, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Sherri Cook, Faculty
Email: sherri.cook@colorado.edu

Project Description

We are investigating what combinations of factors influence the successful implementation of risk management systems in drinking water utilities. These systems aim to prevent contamination events through identifying and prioritizing risks to the systems, implementing multiple control barriers to risks, and continuously monitoring and adapting control barriers. In Canada, where this research is focused, provinces approach risk management differently, with a wide range of regulation, implementation, and impact. For our research we conduct case studies with Canadian drinking water utilities and use them to understand what factors help those utilities manage risk and what factors make it more difficult.
The DLA will work with the graduate researcher to develop case reports of Canadian utilities through analyzing and coding interviews and reports, and analyzing drinking water quality data.
Specifically this will include:
  • Qualitative coding and analysis of interviews with drinking water utility staff
  • Analyzing reports published by utilities to identify factors that impact their risk management
  • Data gathering and analysis of water quality data to assess risk management

Requirements:

  • Previous experience or coursework in drinking water treatment or utility management is preferred but not required.
  • An interest in reading and analyzing qualitative data is needed.

Website: /lab/gpo/research-projects/sustainable-water-sanitation-and-hygiene-wash/organizing-safe-water-services

Desired Majors: Civil Engineering, Environmental Engineering

Contact

Karl Linden, Faculty
Email: karl.linden@colorado.edu

Amy Javernick-Will, Faculty
Email: amy.javernick@colorado.edu

Emma Wells, Graduate Student
Email: emma.wells@colorado.edu

Project Description

Electrification is an important part of a global transition away from fossil fuels. Today, the shift to electric cars, heat pumps, and the expansion of nuclear power are all rapidly growing industries. However, implementing this transition requires complicated ethical decisions from researchers, practitioners, and engineers and the origins of contemporary debates have long histories. In Colorado the state’s mining past, patterns of settlement, and at times contentious relationship with federal regulators complicate efforts at truly ethical energy transition.
To address these important questions, the student researcher would help locate important "sacrifice zones" - places contaminated by energy development - as well as identify key people, dates, policies, regulations, and catalysts for Colorado’s energy transition. The daily workflow would include examining news sources, archives, and academic literature, possibly conducting site visits with the PI (when geographically possible), and possibly interviewing constituents. Student research will contribute to an ongoing book project as well as a public-facing website identifying key locations and issues.

Requirements:

  • While a significant portion of the work can be done digitally, students must have the ability to travel to Boulder for regular meetings with the PI.
  • Ideally, the student will have an interest in the social and ethical implications of engineering development and/or energy technology.

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Sarah Stanford-Mcintyre, Faculty
Email: sarah.stanfordmcintyre@colorado.edu

Project Description

Are you a Lattice Scholar interested in contributing to the improvement and promotion of the Lattice Scholarship program? Do you want to help share the stories of student success for future cohorts Lattice Scholars and the College? In this DLA research apprenticeship, you'll collaborate closely with the Lattice team to explore critical questions surrounding the program's effectiveness in both its first and second years, including identifying valuable seminar content and skills, devising strategies for future implementation, assessing perceptions of success, and determining resource needs. You will gain hands-on experience crafting data analysis methodologies for educational research, including survey design, focus groups, and interviews with enrolled Lattice students. Your contributions will shape the program's evolution, informing future enhancements and student support mechanisms. You will also have the option to publish and present a paper on your research at a regional educational conference. Join us in uncovering insights and driving positive change in engineering education and the Lattice Scholars program.

Requirements:

  • Lattice Scholars only.

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Malinda Zarske, Faculty
Email: malinda.zarske@colorado.edu

Phil Courey, Lattice Scholarship Program Manager
Email: philip.courey@colorado.edu

Project Description

Have you taken an Engineering Projects course? How was your experience working on the design process with other engineering students? Looking back, could you have made your project more sustainable? Are you interested in making an impact in design projects experiences for all students?
In this DLA, you will work with Integrated Design Engineering (IDE) faculty to identify a research question you’d like to investigate related to universal design and sustainability in projects courses. Together we’ll design a research strategy, explore relevant background literature, then analyze projects courses related to the research question and see what we can learn based on the analysis. Along the way you will gain experience designing data analysis in an educational research study, with potential to develop and facilitate surveys, convene focus groups, and conduct interviews with enrolled engineering students. You will also have the option to publish and present a paper on your research at a regional or national educational conference.

Requirements:

  • Must have taken GEEN 1400 and/or GEEN 2400.

Desired Majors: Integrated Design Engineering

Contact

Malinda Zarske, Faculty
Email: malinda.zarske@colorado.edu

Joan Tisdale, Faculty
Email: joan.tisdale@colorado.edu

Project Description

The Vance Lab at the University of Colorado Boulder specializes in indoor and outdoor air quality investigations, with a special focus on aerosols or particulate matter (PM). PM is generated from a variety of sources, from vehicles to cooking and chemical processes. PM can affect the human respiratory system, cardiovascular health, and even brain activity. In fact, some studies have linked exposure to PM to stress and brain aging. Thus, it is important to characterize emissions of PM from everyday sources and mitigation strategies. The student working in our lab will collect fine PM (PM2.5) data from personal measurements and compare it with indoor and outdoor data from low-cost sensor networks and regulatory monitoring stations. The work may include a field component in addition to the primary data analysis & data visualization components of this project. This student will work alongside a PhD student who is leading the study.

Requirements:

  • Undergraduate 91ý engineering student, self-motivated and willing to explore and learn new technical skills, including operating research-grade instrumentation.
  • Applicants must have great attention to detail and be careful with data collection and analysis.
  • Students who are rising juniors and seniors are strongly encouraged to apply.
  • Basic knowledge and interest in continuing to learn Excel and MATLAB is required.
  • This project is primarily focused on data analysis on the student’s own computer in MATLAB, but the student must also be willing to perform measurements in the field on occasion.

Website: /lab/vance

Desired Majors: Aerospace Engineering, Applied Mathematics, Environmental Engineering, Mechanical Engineering

Contact

Marina Vance, Faculty
Email: marina.vance@colorado.edu

Project Description

This project focuses on human-centered design of human-robot collaborative tasks in the chemical wet lab. Due to the multidisciplinary nature of the project, we use methods from both quantitative (computational data analysis and surveys) and qualitative (observations and interviews) research to enable the design of effective interaction scenarios. The DLA student will be involved in data collection (administering surveys, conducting interviews) and analysis, as well as running user studies.

Requirements:

  • An ideal candidate will have some experience in experimental chemistry, with an understanding of chemical safety, tools and equipment used in the lab, and various lab procedures.
  • Knowledge of basic statistics and proficiency in Matlab, Python, or RStudio will be beneficial, and the student must be curious to learn qualitative research methods, such as conducting and analyzing interviews.

Website: /atlas/robochemistry

Desired Majors: Biomedical Engineering, Computer Science, Creative Technology & Design, Integrated Design Engineering, Mechanical Engineering

Contact

Victor Bright, Faculty
Email: victor.bright@colorado.edu

Diane Jung, Graduate Student
Email: diane.jung@colorado.edu

Project Description

The Vance Lab at the University of Colorado Boulder specializes in indoor and outdoor air quality investigations, with a special focus on aerosols or particulate matter (PM). PM can range from a few nanometers to micrometers in size and can be generated from a variety of sources, from vehicles to cooking and chemical processes. PM can affect the human respiratory system, cardiovascular health, and even brain activity. In fact, some studies have linked exposure to PM to stress and brain aging. Thus, it is important to characterize emissions of PM from everyday sources and mitigation strategies. The student working in our lab will perform experimental research to measure size distributions of PM that enters a home from nearby wildfires. The project also includes evaluating different strategies to mitigate indoor PM concentrations. The work includes a field component, a laboratory component, and a data analysis & data visualization component. This student will work alongside a PhD student who is leading the study.

Requirements:

  • Undergraduate 91ý engineering student, self-motivated and willing to explore and learn new technical skills, including operating research-grade instrumentation.
  • Applicants must have great attention to detail and be careful with lab work.
  • Students who are rising juniors or seniors are strongly encouraged to apply.
  • The student must be available to travel within Colorado and nearby states (all travel costs will be covered by the project) and be able to physically lift a 25 lb weight load.
  • Basic knowledge and interest in continuing to learn Excel and MATLAB is required.
  • Because the project includes both experiments in the lab and in the field, and data analysis, the student must be willing to spend approximately equal amounts of time working in the lab/field and working on their computer.

Website: /lab/vance

Desired Majors: Aerospace Engineering, Environmental Engineering, Mechanical Engineering

Contact

Marina Vance, Faculty
Email: marina.vance@colorado.edu

Rileigh Robertson, Graduate Student
Email: Rileigh.Robertson@colorado.edu

Project Description

Atmospheric chemistry models are critical for predicting air quality. Recent data from our AEROMMA field campaign suggests that emissions of organic gases from cooking could have major implications for urban air pollution, but they aren't currently incorporated into models. In this project, the DLA student will use the GEOS-Chem atmospheric chemistry model to simulate US air quality concurrent with the AEROMMA field campaign to evaluate the model by comparing modeled and measured pollutant concentrations. The student will update the model to include cooking emissions, including emissions of cooking-related compounds not previously represented in the model, but which were measured during AEROMMA (especially long-chain aldehydes). Model-measurement comparisons will enable the tuning of these emissions to arrive at an estimate of their magnitude, after which the updated model can be used to determine the overall impact of cooking emissions on US air quality.

Requirements:

Preference will be given to students with any of the following experience:
• using the Alpine high-performance computing cluster
•running atmospheric or other environmental models
•manipulating NetCDF files
•performing statistical calculations on large datasets
Coursework in air quality (especially MCEN 4131 Air Pollution Control Engineering) and/or environmental chemistry is also strongly encouraged.

Website:

Desired Majors: Aerospace Engineering, Applied Mathematics, Architectural Engineering, Biological Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Environmental Engineering, Integrated Design Engineering, Mechanical Engineering

Contact

Kelvin Bates, Faculty
Email: kelvin.bates@colorado.edu

Project Description

The research project involves designing and developing a robotic colonoscopy device. This research is focused on addressing the shortcomings of traditional colonoscopy technology by equipping endoscope technology with motorizable controls that will allow the operating physician to drive the scope through the body. This eliminates the need for manual insertion techniques, a difficult and time-consuming process. The device uses gears, treads, cameras, lighting, and suction to perform medical procedures within the patient's body. The research tasks involve mechanical part design using 3d modeling software (Solidworks). The components of the device are produced using 3d printing and silicone molding techniques. The DLA student will be performing tasks in an assistive role, helping to design mechanical parts, perform materials testing on components, and assemble the robot chassis.

Requirements:

  • The student must be familiar with and willing to learn 3d modeling, basic circuit construction, be willing to work in 2-3 hour blocks, and have a class standing of at least 3.0.

Website: /lab/amtl/research

Desired Majors: Biological Engineering, Biomedical Engineering, Chemical Engineering, Computer Science, Creative Technology & Design, Electrical Engineering, Electrical & Computer Engineering, Engineering Physics, Integrated Design Engineering, Mechanical Engineering

Contact

Mark Rentschler, Faculty
Email: mark.rentschler@colorado.edu

Mitchell Murray, Graduate Student
Email: mitchell.murray@colorado.edu