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Student Theses and Jobs

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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.

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
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.
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.
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.
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.
1923 B/M Implementation and Evaluation of Extended Reality Concepts for Exploring Consumer Products based on Computer Tomographic Data. HCI Markus Wirth, M. Sc.
1924 M/P Gait analysis for Parkinson’s disease Data Analytics / Gait Analysis Nooshin Haji Ghassemi,
Arne Kuederle
1927 I/P StereoViper – 3D stimuli for assessment and training of stereoacuity HCI, Computer Vision Wolfgang Mehringer, M. Sc.
1929 I/B/P Simple augmentation of an image database using CAD models to improve deep learning models Neural Networks / Image Rendering / Python Franz Köferl, M. Sc.
1930 I/B/P Increasing stability in GAN training using past exploration Neural Networks Franz Köferl, M. Sc.
2001 I/(B)/M “Stress in a Box” – A mobile application for acute stress induction
(in cooperation with Chair of Health Psychology, FAU)
Mobile App Development,
Biomedical Signal Analysis,
Health Psychology
Robert Richer, M. Sc.,
Arne Küderle, M. Sc.,
Prof. Dr. Nicolas Rohleder
2002 B/M/P/I The smart maternity log (“Mutterpass”), developing a smartphone app for pregnancy monitoring in an effort for long-term digitalisation in the German Healthcare system.

AND/OR

Pregnancy monitoring using several “homekit” smart devices and the Apple Watch. Assessment of the physical wellbeing of the mother and fetus and the psychological wellbeing of the mother and her partner.

Mobile App Development,
Biomedical Signal Analysis,
Health Psychology,
Machine Learning
Stefan Gradl, M. Sc.

Dr. rer. nat. Hanna Hübner (Frauenklinik, UK Erlangen)

2003 B/M/P/I Assessing the Effect of Neurofeedback based Training in Virtual Reality HCI Markus Wirth, M. Sc.
2004 B/P/M Evaluation of Agile methods in Medical Device Software development – Perspective of industry experts in the framework of a qualitative-empirical study Agile Development, Medical Device Software Philipp Dumbach, M. Sc.
2005 B/P/M Quality control and risk management in Agile Development and its suitability for Medical Device Software Development Agile Software Development, Medical Device Software Philipp Dumbach, M. Sc.
2006 B Energy Cost in the Calf Muscles for Different Running Styles Biomechanical Simulation, Data Analysis Prof. Dr. Anne Koelewijn,
Eva Dorschky, M. Sc.,
Marlies Nitschke, M. Sc.
2007 M Understanding movement decisions in gait using inverse optimal control Inverse Optimal Control, Biomechanical Simulation Prof. Dr. Anne Koelewijn,
Eva Dorschky, M. Sc.,
Marlies Nitschke, M. Sc.
2008 M Energy Cost of Walking with a Three Dimensional Musculoskeletal Model Gait Analysis, Metabolic Cost Prof. Dr. Anne Koelewijn,
Eva Dorschky, M. Sc.,
Marlies Nitschke, M. Sc.
2009 M Analysis of fall risk factors in Parkinson’s patients Data Analysis Magdalena Reinelt
2010 P/I Improving a biomechanical (3D motion capture based) analysis pipeline in Python Data Analysis /Algorithm development / Python Dr.-Ing. Felix Kluge
2011 M Machine learning based improvement of the diagnostic accuracy of an online symptom checker

(cooperation with the Medical Faculty, Rheumatologie und Immunologie)

Data analysis, Machine Learning Dr.-Ing. Felix Kluge

Student Assistant Jobs

Job ID Topic Area Supervisor
2001 Database administration and medical data handling for clinical gait analysis.

This includes:
– maintain an existing database of medical gait data at the UKER
– potentially develop new features/APIs/User front-ends for specific studies
– provide technical support to ongoing studies

We provide:
– Insight in ongoing clinical studies in an interdisciplinary team
– flexible work hours
– the option to write a thesis on the topic (if it fits your study program)

This job is in cooperation with the UKER.

Softaware Development, Database Administration Heiko Gassner

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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.