Student Theses and Jobs


We always have open topics for Bachelor and Master Theses, internships (Forschungspraktikum) 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 application form below to apply for any of the listed positions.
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
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
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
2117 P/M On-Device automatic (Markerless) Multi-Camera (Re)-Calibration using a central Synchronisation-Unit Computer vision,
Deep Learning
Franz Köferl (M. Sc.)
2127 M / P / RI Real-time biomechanical analysis of human movement based on inertial sensor data Machine Learning, Bayesian Estimation Eva Dorschky (M. Sc.)
2135 M Topics for a Master’s thesis in cooperation with and stay at University of Washington:


1. Developing sensor-derived metrics for return-to-sport testing following ACL reconstruction

2. Remote sensing of foot dynamics following lateral ankle sprain

3. Determining influences of throwing arm kinematics in baseball pitching: youth to professional

4. Developing sensor-derived metrics for physical demands of basketball during an on-court testing battery

5. Advancing methods for biomechanics analysis of outdoor and varied terrain running

6. Quantifying on-water biomechanics, crew synchronization, and intra-individual variability in rowing athletes

Sports Analytics,

Digital Health,

Signal Processing

Cristine Agresta

Prof. Dr. Björn Eskofier

2136 P/RI Requirements Engineering and Usability Analysis of an eHealth Application for Opioid Management in Palliative Care Digital Health, HCI Michael Nissen (M. Sc.),
Imrana Abdullahi Yari (M. Sc.),
Dr. med. Tobias Steigleder (Department of Palliative Medicine, University Hospital Erlangen)
2151 P CARWatch: Improvement of an Android application for robust and reliable cortisol awakening response (CAR) assessment Health Psychology,
Mobile App Development
Robert Richer (M. Sc.),
Prof. Dr. Nicolas Rohleder
2208 M Generation of synthetic radar (‘EmpkinS-Sensor’) data from human movement EmpkinS, Movement Analysis, Radar Sophie Fleischmann (M. Sc.),
Markus Gambietz (M. Sc.)
2213 M A Look at the Past: Simulating Movements of Extinct Animals (in collaboration with University of Buenos Aires) Digital Twin, Movement Analysis, Paleontology, Data Analytics, Machine Learning Prof. Dr. Anne Koelewijn
2214 M Dynamic Community Detection in Bipartite Networks Machine Learning, Network science, Algorithms Kai Klede (M.Sc.)
2215 M Objective Assessment of Prodromal Hyperkinetic Movements Using Wearable Sensors and Machine Learning in Huntington ́s Disease Digital Health, Wearable Sensors, Machine Learning Hamid Moradi (M. Sc.)
2216 M/P/I/RI Augmented Reality (AR) Game for Stereopsis Training. The stereopsis training method already exists in Virtual Reality (VR) and can be used as a basis for a new implementation in AR. The aim is to create a context-aware game that motivates users to do the training more frequently. AR, HCI Wolfgang Mehringer (M. Sc.)
2220 M / P / RI Create and evaluate an alternative design to a Privacy Policy Long Text for personal health data Digital Health, HCI Anastasiya Zakreuskaya (M. Sc.)
2225 M Development of a Pose Estimation System for Gymnastics Pose Estimation, Sports, Gymnastics, Performance Analysis Prof. Dr. Anne Koelewijn,
Johannes Link (M. Sc.)
2225 P Deep learning for metallo-proteins: alternative approaches
for the physion-adventitious metal binding site identification problem.
(in cooperation with CERM/CIRMMP, University of Florence)
Deep Learning, Computational chemistry. Dr. Dario Zanca, Dr. Vincenzo Laveglia (CERM/CIRMMP)
2226 B/ M/P/I/RI Different topics in motion analysis using hearing aid integrated IMUs (e.g. turns, gait sequence/context detection, stair ambulation) Deep Learning, Machine Learning, Data Analytics, Motion Sensors Ann-Kristin Seifer (M. Sc.)
2228 M/B/RI Clinical Implementation and Evaluation of an ML/AI-Based Algorithm For Anxiety Prediction in Palliative Care Machine Learning, HCI, Digital Health Michael Nissen (M. Sc.),
Dr. med. Tobias Steigleder (Department of Palliative Medicine, University Hospital Erlangen)
2230 P/I Development of a Platform For Mobile And Ubiquitous Health Trials Digital Health, Mobile Health, Ubiquitous Health Michael Nissen (M. Sc.),
Madeleine Flaucher (M. Sc.)
2233 P/RI stress+: Further development of a web application for acute remote psychosocial stress induction Web Development, Health Psychology Robert Richer (M. Sc.)
2234 M Time-course of spatiotemporal gait parameters in response to treatment in patients with rheumatoid arthritis Signal Processing, Gait, Digital Health Dr. sportwiss. Dr. habil med. Anna-Maria Liphardt (UK Erlangen)
2235 P Development of a web interface for processing physiological data using BioPsyKit – an open-source package for the analysis of biopsyschological data Signal Processing, Health Psychology Robert Richer (M. Sc.)
2238 M Supervised and Unsupervised Re-Identification of Polar Bears Machine Learning, Deep Learning, Computer Vision Matthias Zürl (M. Sc.)
2239 M Integrated Dementia Diagnosis (in cooperation with Siemens Healthineers Innovation Hub in Lausanne, Switzerland) Digital Health, Machine Learning, Signal Processing Prof. Dr. Björn Eskofier

Dr. Tobias Tober (Siemens Healthineers)

2242 M/P/RI iPhone Perimetry App:

Visual field analysis, also called perimetry, is a procedure to screen for visual field abnormalities caused by diseases like Glaucoma. To broaden the use of this procedure at home, an iPhone app should be extended and refined.

VR, HCI Wolfgang Mehringer (M. Sc.)
2243 B/P/M Development of a framework for markerset reconstruction Motion capture, Markersets, Gait Sophie Fleischmann (M. Sc.)
2246 B / M Explore the interaction with digital questionnaires for personal health data Digital Health, HCI Anastasiya Zakreuskaya (M. Sc.)
2247 B Reverse Engineering Human Movement Strategies: Application of Inverse Optimal Control on Big Data Biomechanics, Optimal Control, Big Data Markus Gambietz (M. Sc.)
2248 M/P/RI VR-OTS (Oculomotor Test System):

The VR-OTS system can asses visual functions of participants. The current implementation is tested with the HTC Vive Pro eye, a wired VR-headset. To extend potential use-cases stand-alone devices should be used. These are Android based and thus the implementation needs to be adapted accordingly. The aim of the thesis is to adapt the existing implementation and test it with stand-alone devices against the wired VR-headset.

VR, HCI Wolfgang Mehringer (M. Sc.)
2250 P/I Development of a bot detection system based on FingerprintJS Machine Learning, Web Development Kai Klede (M.Sc.)
Michael Nissen (M. Sc.)
2251 M Prediction of Individual Running Performance when Running in Shoes featuring different Stack Height with STRYD Power Measurements

(in cooperation with Adidas)

Sports Analytics, Machine Learning Jannik Kögel (M. Sc.),
Markus Gambietz (M. Sc.),
Prof. Dr. Björn Eskofier
2252 M Implenetation of a neuromusculoskeletal model with supraspinal control Neuromusculoskeletal modeling, Biomechanics Sophie Fleischmann (M. Sc.)
2253 RI / M / B All about the design? Factors influencing the adherence to wearable devices in medical trials
HCI, Digital Health Madeleine Flaucher (M. Sc.)
Michael Nissen (M. Sc.)
2254 M AI-driven coaching for golf swing improvement Digital Sports,
Prof. Dr. Björn Eskofier,
Johannes Link (M. Sc.),
Mohamad Wehbi (M. Sc.)
2255 M AI-driven biomechanical golf swing analysis Digital Sports,
Prof. Dr. Björn Eskofier,
Marlies Nitschke (M. Sc.),
Thomas Altstidl (M. Sc.)
2256 P/RI/M Biologically-inspired Computer Vision and Self-Learning Systems Deep Learning Dr. Dario Zanca
2257 PI / RI Integration of Additional Fitness Tracker APIs Into mHealth And uHealth Medical Trial Platform (Backend development) Biosignal Processing,
Software Engineering.
Digital Health
Madeleine Flaucher (M. Sc.)
Michael Nissen (M. Sc.)
2258 M/P/I/RI Facial Expression Detection during Sleep Biosignal Processing, Image Processing, Machine Learning, EmpkinS Daniel Krauß (M. Sc.),

Lydia Rupp (M.Sc)

2259 M/P/I/RI Biosignal Analysis from Polysomnography within Sleep Biosignal Processing, Machine Learning, Deep Learning, EmpkinS Daniel Krauß (M. Sc.)
2260 M Physically Constrained Micro-Doppler Radar Tracking
(visual abstract on request)
Radar, Computer Vision, Biomechanics, EmpkinS Markus Gambietz (M. Sc.),
Sophie Fleischmann (M. Sc.)
2261 B/M/P Classification and assessment of rheumatoid arthritis from motion capture data using machine learning Machine Learning, Biosisnal Processing, EmpkinS Robert Richer (M. Sc.),
Sophie Fleischmann (M. Sc.),
Misha Sadeghi (M. Sc.),
Birte Coppers, M.Sc. (University Hospital Erlangen),
PD Dr. sportwiss. Dr. habil. med. Anna-Maria Liphardt (University Hospital Erlangen)

Student Assistant Jobs


Job ID Topic Area Supervisor
J-22006 Student assistant for the installation and maintenance of multi edge device monitoring (e.g. ansible, grafna, prometheus) IT, Maintenance, Edge-Devices Franz Köferl (M. Sc.)
J-22008 Supporting data recordings Ann-Kristin Seifer (M. Sc.)

Application Form

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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 ThesisResearch Assistant (HiWi)Research Lab (Forschungspraktikum)Master's Project (Computer Science)

    When would you ideally want to start? (*)

    If you wish to describe your own topic, select one of our research areas:
    Human-Computer InteractionMachine LearningBiomechanicsWearable ComputingGait AnalyticsDigital PsychologyML for Industry