Student Theses and Jobs


We always have open topics for Bachelor and Master Theses, Froschungspraktika, Hochschulpraktika and Master Projects and also open positions for student work (HiWi positions). You can find most of them listed in the tables below. If you do not find a suitable topic in there we would still like to encourage you to contact us and tell us about your ideas.

Please use the contact form below to apply for any of the listed topics, open positions or to propose your own topic. We will then get in contact with you, usually within two days.

Topic Information Meeting

We will have 3-4 meetings each year where we present all our currently available Bachelor’s and Master’s thesis topics to all interested students. If you plan to attend this meeting, please still submit the interest form below! If there are too few applications, the meeting might be cancelled and the topics presented individually. The next meeting is scheduled for TBD.

Open Research Topics

[B] = More suited for a Bachelor’s Thesis
[M] = More suited for a Master’s Thesis
[I] = Implementation Task (for Computer Science “Master Project” or Medical Engineering “Research Internship” (Forschungspraktikum))

Thesis ID Scope Topic Area Supervisor
1701 M Program firmware for wearable hardware prototype. Wearable Computing Markus Zrenner, M. Sc.
1702 M Energy consumption optimization in ULP devices. Evaluation of impact factors. Wearable Computing Markus Zrenner, M. Sc.
1703 M/B Various topics in the area of: Virtual and Augmented Reality; (combined with) biomedical signal analysis and visualisation; virtually augmented sports and coaching HCI Stefan Gradl, M. Sc.,

Markus Wirth, M. Sc.

1705 M BlindAR – Augmenting touch screens for the visually impaired HCI Robert Richer, M. Sc.

Markus Wirth, M. Sc.

1708 M/I Develope a semi-supervised method to train a personalised gait analysis algorithm for spastic paraplegia patients. Also implement and test other algorithms for gait analysis e.g. deep learning Pathological Gait Analysis, Semi-supervised Learning Christine Martindale, M. Sc.
1709 M/I Using a database of over 90 people, compare and analyse the limits of activity recognition algorithms. Compare and analyse semi-supervised and unsupervised approaches for training machine learning algorithms with this databse Activity Recognition, Wearable Computing, semi-supervised learning Christine Martindale, M. Sc.
1712 M Deep Learning for Human Motion Analysis using Synthesized Data Machine Learning, Biomechanics Eva Dorschky, M. Sc.
1713 B Formation Detection from Handball Tracking Data (available from March ’18) Machine Learning, Sports Mathias Maurer, M. Sc.
Dipl.-Ing. Nicolas Witt
1715 B/M Performance Analysis and Game Cahracterization of Table Tennis Players using Inertial Sensors Wearable Computing Dipl.-Ing. Peter Blank
1717 M/I Implementation and testing of unsupervised learning methods for combined gait analysis and activity recognition Machine Learning, Gait Analysis, Activity Recognition Christine Martindale, M. Sc.
1718 B/M Embedded Classification In Long-Term Gait Monitoring Wearable Computing, Firmware Nils Roth, M. Sc.
1719 M Analysis of GPS tracks for athlete characterization Machine Learning, Sports Mathias Maurer, M. Sc.
1720 B/M Soccer Exercise Animation and Prototype Determination from Tracking Data and Detected Actions (with Fraunhofer IIS) Sports; Machine Learning Dipl.-Ing. Nicolas Witt
1724 M Gait analysis in double and triple transgenic rat models Data Analysis, (basic) Image Processing Ivanna Timotius, M. Sc.
1801 B Embedded Heart Rate Variability Analysis for the Assessment of Parkinson’s Disease Wearable Computing Robert Richer, M. Sc.
1802 B Continuous Blood Pressure Measurement for Real-Time Vertigo Assessment using Pulse Transit Time Wearable Computing Robert Richer, M. Sc.
1803 I (FP) Implementation of Physical Exercise Mode for DailyHeart Wearable Computing Robert Richer, M. Sc.
1804 M Speech and Textual Analysis of Group Work Tasks for Evaluation of Teamwork Performance
(in cooperation with Pattern Recognition Lab, Chair of Economic Theory and Chair of Health Psychology)
HCI Robert Richer, M. Sc.,
Florian Auferoth, M. Sc.
1805 B/M Music analysis and recognition with methods of Machine Learning Machine Learning TBD, Gabriel Gomez (ext)

Stefan Gradl, M. Sc.

1806 B/M Virtual and Augmented Reality for cardiological applications HCI, Biosignal Analysis Stefan Gradl, M. Sc.

Robert Richer, M. Sc.

1807 B/M Reflection-based sensorfusion for LiDAR and RGB data Machine Learning Franz Köferl, M. Sc.
1808 B/M Classification and parameter estimation in euclidean pointclouds using Deep Learning Machine Learning Franz Köferl, M. Sc.
1809 I/B Evaluation of trained and conventional feature descriptors in 3D-space Machine Learning Franz Köferl, M. Sc.
1810 B/M Identifying Loggingpatterns for Errordetection Machine Learning Franz Köferl, M. Sc.
1811 M/I Further develop a smart annotation tool and activity recogintion pipeline for quick, and easy labelling of massive datasets Implementation, activity recognition, user annotation Christine Martindale, M. Sc.
1812 M/I/B Analysis of intervention effect on sleep quality Sleep analysis, machine learning Christine Martindale, M. Sc.
1813 M/I/B Analysis of user experience and accuracy of an app for parkinson’s patients to use in the home environment (in conjunction with University of Madrid) HCI, Signal analysis Christine Martindale, M. Sc.
1814 B Visualization of simulated kinematics and kinetics using SCAPE Computer Graphics, Biomechanics Marlies Nitschke, M. Sc., Matteo Colaianni (adidas), Jochen Süßmuth (adidas), LGDV?

Open student positions

Job ID Topic Area Supervisor
J1701 Student helping with the exercises in our courses. Lectures/Exercises Stefan Gradl, M. Sc.
J1704 Preparation of a tutorial for applied machine learning in mechanical engineering (including python programming, preparation of exercises and slides) Scientific Work / Exercises / Lectures Matthias Ring, M. Sc.
J1705 Internship at Audi (Ingolstadt) – Machine Learning for Road Load data Internship Dipl.-Phys. Heike Leutheuser

Contact Us

What are you currently studying (e.g. "Master Medizintechnik")?

What kind of work are you interested in? (*)
Bachelor's ThesisMaster's ThesisStudent work (HiWi)ForschungspraktikumHochschulpraktikumMaster's Project (Computer Science)

In the following you can tell us your interest in a specific topic or in the general research area. If you have a brilliant idea and want to generate a new topic, please select our area of research that is most fitting, and describe your idea in two sentences.