Open (Research) Topics for Students
Thanks for your interest in working with us. Please have look at the open (research) topics listed below. If you find topics that spark your interest, or if you have any suggestions of your own, please fill in the form below.
At our chair, we strive to maintain transparent communication with all applicants. Regrettably, if you haven’t received a response within two weeks, your application for the position may not have progressed further.
Legend:
[B] = Topic for Bachelor’s Thesis
[M] = Topic for Master’s Thesis
[R] = Topic for Research Lab / Topic for Project (e.g. Computer Science “Master Project”)
[HiWi] = Student Assistant (HiWi) position (paid)
Current Openings
Goal
In this Master’s thesis, you will review and implement control algorithms for controlling a musculoskeletal model fitted with the OSL 2.0 knee-ankle prosthesis in MuJoCo environment. Tasks include:
- Reviewing the literature on gait phase estimation and control
- Implementing control algorithms in the MuJoCo simulation environment
- Evaluating the control and resulting gait against reference human data across speeds or tasks
Your profile
- Good programming skills in Python (required)
- Experience in one or more of these: gait analysis or biomechanics, predictive or musculoskeletal simulation (e.g. OpenSim, MuJoCo, MyoSuite), control engineering or signal processing
- Familiarity with reinforcement learning or prosthesis control is a plus
- Motivated and able to work independently
Start: possible immediately or by arrangement.
How to apply: Please apply using the application form at the bottom of this page, stating that you are applying for this thesis (“Simulation-Based Development of Gait Phase Estimation for Control of the Open-Source Leg 2.0 in MyoAssist”). Include all necessary documentation, your transcript of records and a few lines about your motivation in the proposal section.