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))
|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.,|
|1705||M||BlindAR – Augmenting touch screens for the visually impaired||HCI||Robert Richer, 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.|
|1713||B||Formation Detection from Handball Tracking Data||Machine Learning, Sports||Mathias Maurer, M. Sc.
Dipl.-Ing. Nicolas Witt
|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.|
|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.|
|1803||I (FP)||Implementation of Physical Exercise Mode for DailyHeart||Wearable Computing||Robert Richer, M. Sc.|
|1805||B/M||Music analysis and recognition with methods of Machine Learning||Machine Learning||TBD, Gabriel Gomez (ext)|
|1806||B/M||Virtual and Augmented Reality for cardiological applications||HCI, Biosignal Analysis||Stefan Gradl, 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. Main work in the development of the Android App for this project||Sleep analysis, machine learning||Christine Martindale, M. Sc.|
|1815||I (FP)||Node.js-based Sensor Library Framework for a Data Concentrator in Home Monitoring||Wearable Computing||Robert Richer, M. Sc.,
Nils Roth, M. Sc.
|1816||B/M||Evaluation of IMU Orientation and Angle Computation Algorithms Using a Gimbal Apparatus||Wearable Computing, Signal Analysis||Martin Ullrich, M. Sc.,
Robert Richer, M. Sc.
|1817||I (FP)||Android Application for Semi-Automatic, Guided IMU Sensor Calibration||Wearable Computing||Robert Richer, M. Sc.,
Nils Roth, M. Sc.
|1818||B/M/I||Implementation and Evaluation of Actuator Feedback or Guidance for Urban Sports (Football, Running, Dancing)||Wearable Computing, HCI||Stefan Gradl, M. Sc.,
Markus Wirth, M. Sc.
|1819||P/M||Einsatz von Datenanalysemethoden / Maschinellem Lernen zur Fehlererkennung bei kritischen Komponenten von Abfüllanlagen für die Pharmaindustrie||Machine Learning||Philipp Dumbach, M. Sc.|
Open student positions
|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|