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Student Theses and Jobs

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We always have open topics for Bachelor and Master Theses, Forschungspraktika, 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
1924 I/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 Graphics Wolfgang Mehringer, M. Sc.
2003 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.
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.
2012 M Digital phenotyping of chronic pain patients undergoing neuromodulation
(in cooperation with the Medical Faculty, Neurosurgery)
Data Analysis, Machine Learning, Biomedical Signal Analysis Dr.-Ing. Felix Kluge,
Prof. Dr. med. Thomas M. Kinfe
2013 M “How do you move when you’re stressed?” – Analysis of motion patterns during acute psychosocial stress
(in cooperation with Chair of Health Psychology, FAU)
Data Analysis,
Machine Learning,
Motion Analysis,
Health Psychology
Robert Richer, M. Sc.
Arne Küderle, M. Sc.
Dr.-Ing. Felix Kluge
Prof. Dr. Nicolas Rohleder
2014 M/B/P/I Approximation of physical based LIDAR simulation in Blensor using Deep Learning Machine Learning, Simulation Franz Köferl, M. Sc.
2019 B Influence of gait assessment length on disease classification and hospital outcome measures Gait Analysis, Machine Learning Malte Ollenschläger, M. Sc.
Matthias Zürl, M. Sc.
Dr.-Ing. Felix Kluge
2020 B/M/P/I Investigation of a Blockchain-based service network for digitalisation of the maternity log (Mutterpass) in the German healthcare system. Focus is on consumer-to-(healthcare-)provider transactions and verifications and anonymous information storage of the maternity log contents on the Blockchain using smart contracts. Digital Health Stefan Gradl, M. Sc.
Michael Nissen, M. Sc.
Dr. rer. nat. Hanna Hübner (Frauenklinik, UK Erlangen)
2023 I/P/M “Mixed-Type and Irregularly Sampled Time Series Analysis” – Such data includes for example electronic health records (EHR) or combined sensor and event log data. Tasks include the extension of RNN architectures to deal with such data efficiently. Deep Learning, Machine Learning, Time Series Analysis An Nguyen, M. Sc.
2024 B/P/M Strategic Impact of AI knowledge within industries and organizations Artificial Intelligence, Strategy Management Philipp Dumbach, M. Sc.
2025 B/P/M Adoption of AI in SMEs – Perspective of industry experts in the framework of a qualitative-empirical study Artificial Intelligence, Innovation Management Philipp Dumbach, M. Sc.
2026 P/M Process Mining opportunities in agile software development projects Data Analysis, Process Mining Philipp Dumbach, M. Sc.
2027 P/I Requirements Engineering and Market Research for Pregnancy and Maternity Mobile Apps Digital Health Michael Nissen, M. Sc.
Stefan Gradl, M. Sc.
Dr. rer. nat. Hanna Hübner (Frauenklinik, UK Erlangen)
2028 P/I Implementing a reference algortihm for anomaly segmentation using the MVTec AD dataset Machine Learning, Deep Learning Franz Köferl, M. Sc.
2029 B/M Using speech recognition techniques for the application of online handwriting recognition using a sensor enhanced pen. Machine Learning, Deep Learning Mohamad Wehbi, M. Sc.

Student Assistant Jobs

Job ID Topic Area Supervisor
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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)

When would you ideally want to start? (*)

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.