Prospective Students
PhD Students
Our research group is hiring for a funded PhD student position starting in Fall 2027. You’ll be part of DePaul’s rapidly growing robotics program, have access to newly renovated state-of-the-art facilities, and be able to pursue collaboration opportunities with other top universities and Toyota Research Institute. Research topics include simulation-based validation and benchmarking, optimal and model predictive control, generative modeling for robotics, and more.
We’re looking for someone who can:
- Write and maintain clean, well-documented code in python and/or C++.
- Build on a solid math foundation (calculus, linear algebra, probability).
- Perform hands-on troubleshooting of mechanical and electrical components.
- Understand, critique, and clearly communicate complex ideas.
- Serve in a mentorship role for junior students.
Curious and highly motivated students from all backgrounds are encouraged to apply, even (and especially!) if your background is atypical for the field.
To start the application process, email me (vkurtz1@depaul.edu) with exactly three attachments:
- A CV.
- A cover letter outlining your background and research interests.
- One thing (paper, personal project, etc.) that you are particularly proud of.
Undergraduate and Masters Students
If you are a current DePaul student interested in joining our research group, please email me your resume and schedule a 15 minute meeting on my DePaul calendar.
Required skills:
- Strong programming in python and/or C++.
- Solid linux/unix command-line proficiency.
- Curiosity and independent problem-solving.
Bonus, but not hard requirements:
- Experience building things.
- Experience working on open-ended projects.
- Contributions to open-source software.
- Experience with simulation (Drake, MuJoCo, Isaac).
- Experience with deep learning.
- Experience with control theory or numerical optimization.
- Strong math and/or physics background.
Curiosity and motivation are the most important criteria - most everything else we can teach you as we go!