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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 Project (e.g. Computer Science “Master Project”)
[I] = More suited for a Implementation Task
[RI] = More suited for Research Internship

Thesis ID Scope Topic Area Supervisor
1927 RI/P StereoViper – 3D stimuli for assessment and training of stereoacuity HCI, Computer Graphics Wolfgang Mehringer (M. Sc.)
2003 P/RI Assessing the Effect of Neurofeedback based Training in Virtual Reality HCI Markus Wirth (M. Sc.)
2012 M Digital phenotyping of chronic pain patients undergoing neuromodulation
(in cooperation with the Medical Faculty, Neurosurgery)(currently on hold due to covid-19)
Data Analysis,
Machine Learning,
Biomedical Signal Analysis
Dr.-Ing. Felix Kluge,
Prof. Dr. med. Thomas M. Kinfe
2020 B/M/P/RI 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 Dr.-Ing. Stefan Gradl,
Michael Nissen (M. Sc.),
Dr. rer. nat. Hanna Hübner (Frauenklinik, UK Erlangen)
2023 RI/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 effectively. Deep Learning, Machine Learning, Time Series Analysis An Nguyen (M. Sc.),
Leo Schwinn (M. Sc.)
2033 M Clustering of disease trajectories and prediction of outcomes from large real-world datasets Digital Health, Machine Learning Novartis Institutes for Biomedical Research Translational Medicine
2034 P/RI SMART Start: Digitalising and improving prenatal and maternal care through the use of wearables and machine learning Digital Health, Machine Learning Michael Nissen (M. Sc.),
Dr.-Ing. Stefan Gradl,
Dr. rer. nat. Hanna Hübner (Frauenklinik, UK Erlangen)
2035 M Machine learning for systems biology – Molecular profiling of IBD patients for prediction and monitoring of response to targeted therapies Digital Health,
Machine Learning,
Systems Biology
Prof. Dr. Björn Eskofier,
Prof. Dr. Raja Atreya
(UK Erlangen)
2039 RI Adaptation of existing sit-to-stand transition detection algorithms to a new sensor position for real-time vertigo analysis Motion Analysis,
Digital Health,
Signal Processing,
Machine Learning
Robert Richer (M. Sc.)
2043 RI Automatic detection and correction of sensor orientation in wearable gait analysis Gait Analysis, Signal Processing Martin Ullrich (M. Sc.),
Malte Ollenschläger (M. Sc.),
Arne Küderle (M. Sc.)
2047 M Activity Recognition using IMU sensors integrated into Hearing Aids.
Implementation and evaluation of an activity recognition algorithm.
Machine Learning, Signal Processing Ann-Kristin Seifer (M. Sc.)
2101 B/M Prediction of MRI Patient Experience, Physiological Stress, and Behavioral Outcomes from Psychological Variables
(in collaboration with Chair of Health Psychology and Siemens Healthineers)
Machine Learning,
Health Psychology
Robert Richer (M. Sc.),
Janika Madl (M. Sc.),
Prof. Dr. Nicolas Rohleder
2102 M/P Artificial Intelligence trends in healthcare – Application of topic clustering and sentiment analysis using podcast data Data Analysis, Machine Learning Philipp Dumbach (M. Sc.),
Leo Schwinn (M. Sc.)
2104 M / P Digitale KFZ-Schadensbearbeitung (in Kooperation mit HUK-Coburg) Deep Learning,
Natural Language Processing,
Augmented Reality
Dr. Matthias Ring
(HUK-Coburg),
Prof. Dr. Björn Eskofier
2105 M / P Automatic animal behaviour measurements for captive polar bears
(in collaboration with the zoo Nürnberg)
Data Analysis,
Computer Vision,
Deep Learning
Matthias Zürl (M. Sc.)
Dr. Dario Zanca
2106 M Implementation of a federated infrastructure for dynamic job offer/demand matching for universities
(in cooperation with Refinio GmbH)
Federated dataspaces Prof. Dr. Björn Eskofier,

Refinio GmbH

2107 M Improvement of an EMG-based interface by incremental learning
(in cooperation with DLR)
Machine Learning Annette Hagengruber (Dipl.-Ing),

Prof. Dr. Björn Eskofier

2108 P/I/RI Wearable based Biomedical Signal Analysis in Sports Sports Analytics, Signal Processing, Digital Health

 

Markus Wirth (M. Sc.)
2109 BA
Signal Analysis of a Wearable Electrocardiography System
Sports Analytics, Signal Processing, Digital Health Markus Wirth (M. Sc.)
2110 M / P Individual recognition of captive polar bears based on video analysis
(in collaboration with the zoo Nürnberg)
Data Analysis,
Computer Vision,
Deep Learning
Matthias Zürl (M. Sc.)
Dr. Dario Zanca
2111 M Predictive Simulations of Gait with Exoskeletons that Alter Energetics
(in collaboration with Queen’s University in Canada)
Gait Analysis, Biomechanics, Predictive Simulations Prof. Dr. Anne Koelewijn
2112 M / P “stress-in-a-box” – A web application for stress assessment
Further development and evaluation of digital stressors
(in collaboration with Chair of Health Psychology)
Web Development, HCI, Health Psychology Robert Richer (M. Sc.),
Markus Wirth (M. Sc.),
Prof. Dr. Nicolas Rohleder
2113 M Visual Attention Modeling by Means of Minimization of the Stimulus Reconstruction Error Computer vision, Neuroscience Dr. Dario Zanca
An Nguyen (M. Sc.)
Leo Schwinn (M. Sc.)

Student Assistant Jobs

Job ID Topic Area Supervisor
2002 Deep Learning/Machine Learning for Mixed-Type and Irregularly Sampled Time Series Analysis   Deep Learning, Machine Learning, Time Series Analysis An Nguyen (M. Sc.)

Dr. Dario Zanca

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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.