Student Theses and Jobs

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)

ID Scope Topic Area Supervisor
52 HiWi/M FES/Exosuit system integration for the HirReha project User study, Signal processing, Controls Marek Sierotowicz
51 B/R/M Human-in-the-loop incremental learning in MuJoCo VR User study, Machine Learning, VR Fabio Egle
         
49 R/M Virtual Ground Truth 2.0 – Development and evaluation of an improved virtual ground truth visualizer for myoelectric and sonomyographic control Data visualization, Unity, User Study Fabio Egle, Silvana Miranda Montenegro
48 M Development of a bio-signal based wearable tracking system for medical staff Wearables, App, Sensor Fusion  Sabine Thuerauf
42 M Tele-Impedance for Robotic Tele-Manipulation Tele-Impedance Sabine Thuerauf
40 R/M Control for an Exosuit with Variable Stiffness Control Theory / Wearables Sabine Thuerauf
39 R Database: Tasks requiring Impedance Literature Review / Database Sabine Thuerauf
32 R/M Accuracy calibration of a IMU Body-Tracking System Programming, Sensors Sabine Thuerauf
28 R/M Measure Human Stiffness in VR VR, Biosignals, Tele-Impedance Sabine Thuerauf
13 R/M

Teleimpedance for telemanipulation

Controls, robotics, ROS, C#, biosignals Marek Sierotowicz
3 R/M Force output-based calibration of Functional Electrical Stimulation electrode array Electronics, sensor fusion, optimization Marek Sierotowicz
2 M Improving the quality of data via data visualisation Data visualisation Claudio Castellini

 

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