Student Theses and Jobs › Machine Learning and Data Analytics Lab

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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.

Open Research Topics

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

Thesis ID	Scope	Topic	Area	Supervisor
1705	M	BlindAR – Augmenting touch screens for the visually impaired	HCI	Robert Richer, M. Sc. Markus Wirth, M. Sc.
1823	M/P	Implementation and Evaluation of a Perceptual-Cognitive Training Tool for Football Player in Virtual Reality	HCI	Markus Wirth, M. Sc., Stefan Gradl, M. Sc.
1824	B/P	Assessing Action Orientation of Athletes in a Gamified Virtual Environment	HCI	Markus Wirth, M. Sc., Stefan Gradl, M. Sc.
1825	M/P	Applying Congruent and Incongruent Cognitive-Tasks for Performance Improvement in Team Sports (VR)	HCI	Markus Wirth, M. Sc., Stefan Gradl, M. Sc.
1829-114	B/M/I/P	Stress and Biofeedback Relaxation in Virtual Reality	Biosignal Analysis, HCI	Stefan Gradl, M. Sc., Robert Richer, M. Sc., Markus Wirth, M. Sc.
1834	M	Development of a Wearable, Head-Worn Electrostimulator for the Prediction of Migraine Attacks	Wearable Computing, Hardware Development	Robert Richer, M. Sc.
1840	I/P	Design and Development of a Hardware Test Bench for Wearable Sensors (e.g. IMU sensors)	Wearable Computing, Mechanical Engineering	Nils Roth, M. Sc., Arne Küderle, M. Sc., Robert Richer, M. Sc.
1842	I/P	Development of a automated Software Testing Framework for Wearable Sensors (e.g. IMU sensors)	Wearable Computing, DevOps, Software Development	Nils Roth, M. Sc., Arne Küderle, M. Sc., Robert Richer, M. Sc.
1843	B/M	Correlation between Cardiac Pre-Ejection Period (PEP) and alpha-Amylase (currently not offered)	Biomedical Signal Analysis, Health Psychology	Robert Richer, M. Sc., Arne Küderle, M. Sc., Prof. Dr. Nicolas Rohleder
1902	M	Machine Learning Methods for Personalization of Biomechanical Models	Machine Learning, Biomechanical Models	Marlies Nitschke, M. Sc., Eva Dorschky, M. Sc.
1903	B/M	Artifical Intelligence for a Smart Home	Machine Learning, Signal Processing	Prof. Dr. Björn Eskofier
1904	I	Implementation of graphical user interface (GUI) for IMU-based running analysis	Signal Processing, Sports	Markus Zrenner, M. Sc.
1905	M	Development and Evaluation of data-based route recommendation system for running	Machine Learning, Data Analytics, Sports	Markus Zrenner, M. Sc.
1906	M	Embedded analysis of foot kinematics in running	Signal Processing, Sports	Markus Zrenner, M. Sc.
1909	B/P/M	Agile development within innovation projects using Scrum – Evaluation of the benefits of Git, Gitlab and the GitInspector	Innovation Lab, Software Development, Data Analytics	Philipp Dumbach, M. Sc., Markus Zrenner, M. Sc.
1910	B/P/M	Design of accelerator programs in MedTech and Digital Health – Perspective of industry experts and investors in the framework of a qualitative-empirical study	Startup Development, Innovation Management	Philipp Dumbach, M. Sc.
1911	B/P/M	Incubation programs within the European ecosystem – A qualitative-empirical study for analysing the perspective of entrepreneurs and startups	Startup Development, Innovation Management	Philipp Dumbach, M. Sc.
1914	P	Visualisation and Reporting of Long-term Gait Analysis Outcomes (in cooperation with Portabiles HealthCare Technologies)	Signal Processing	Martin Ullrich, M. Sc., Arne Küderle, M. Sc., Dr.-Ing. Felix Kluge
1915	I/P/M	Deep Learning for Anomaly Detection	Deep Learning, Time Series Analysis	An Nguyen, M. Sc.
1916	I/P/M	Deep Learning for Data Augmentation	Deep Learning, Time Series Analysis	An Nguyen, M. Sc.
1917	I/P/M	Conformance Checking for Medical Processes	Process Mining, Data & Process Science	An Nguyen, M. Sc.
1918	B/M/P/I	Recognition and Classification of Sex-Specific Differences in the Electrocardiogram of Women (cooperation thesis with Bloomer Tech)	Machine Learning, Signal Processing	Stefan Gradl, M. Sc.
1919	B/M/P/I	Influences of the Office Work Environment on Team- and Personal-Stress. Development of a Classification Algorithm for Team-Stress.	Machine Learning	Stefan Gradl, M. Sc.
1920	B/M/P/I	Development of a Social Stressor Condition in a Virtual Reality based Stress Environment	Virtual Reality, Stress	Stefan Gradl, M. Sc.
1921	I/P/M	Building the next generation of gait analysis pipelines (Combine the state of the art of every part of an IMU based Gait Analysis and evaluate the results against existing methods)	Data Analysis. Gait Analysis, Control Theory	Arne Küderle, M. Sc.
1922	I/P	Analysing and visualising sleep data for easy understnading and detecting of sleeping patterns. Building a visualisation tool to extend an App and website pair. Possibly also some basic machine learning.	Apps, website, visualisation, signal processing, (optionally machine Learning)	Christine Martindale, M. Sc.

Open student positions

Job ID	Topic	Area	Supervisor
J1701	Student helping with the exercises in our courses	Lectures/Exercises	Wolfgang Mehringer, M. Sc.
J1702	Implementation of a Python/C++ Framework for Image-Processing with Lidardata	Research	Franz Köferl, M. Sc.
J1901	Visualisation and Reporting of Long-term Gait Analysis Outcomes (in cooperation with Portabiles HealthCare Technologies)	Research	Martin Ullrich, M. Sc., Arne Küderle, M. Sc., Dr.-Ing. Felix Kluge
J1902	Working Student (potentially with follow up Master Thesis) at Siemens Healthineers – Computed Tomography (Data Analytics for non-image data)	Research & Development	An Nguyen, M. Sc.
J1903	Working Student (potentially with follow up Master Thesis) at Siemens Healthineers – Predictive Maintenance (Computed Tomography + Customer Service)	Research & Development	An Nguyen, M. Sc.
J1904	Student researcher helping with topics in the field of Deep Learning or/and Process Mining	Research	An Nguyen, M. Sc.

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Bachelor's ThesisMaster's ThesisStudent work (HiWi)ForschungspraktikumHochschulpraktikumMaster's Project (Computer Science)

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