Student Theses and Jobs

Info

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.)
2122 RI The digital fetus – Collecting fetal health parameters during pregnancy for automatic assessment of fetal wellbeing Digital Health Katharina Jäger (M. Sc.),
2125 M Time Series Data Augmentation for online handwriting recognition Machine Learning, Deep Learning Mohamad Wehbi (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.)
2131 M AI-driven coaching for golf swing improvement Digital Sports,
AI
Prof. Dr. Björn Eskofier,
Johannes Link (M. Sc.),
Mohamad Wehbi (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)
2137 M/I Refinement, Feasibility and Evaluation 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)
2145 B/P/RI How to prepare patients for MRI: Identification of patient types to predict effectivity of interventions
(in cooperation with Siemens Healthineers and the Chair of Health Psychology, FAU Erlangen-Nürnberg)
Machine Learning,
Health Psychology
Robert Richer (M. Sc.),
Janika Madl, M.Sc. (Siemens Healthineers),
Prof. Dr. Nicolas Rohleder
2146 M Enough with Huge Language Models!
(in cooperation with Expert.ai)
Deep learning, Natural Language Processing Dr. Dario Zanca,
Dr. Andrea Zugarini (Expert.ai),
Dr. Marco Ernandes (Expert.ai)
2150 B/P/RI PräpCort: Identifying patterns in biological and self-reported stress markers in the context of the macroscopic anatomy course in medical school using machine learning
(in cooperation with the Chair of Clinical Psychology and Psychotherapy, FAU Erlangen-Nürnberg)
Machine Learning,
Health Psychology
Robert Richer (M. Sc.),
Dr. rer. nat. Lena Gmelch
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.)
2209 M User adaptive models in the application of handwriting recognition Machine learning, Deep Learning Mohamad Wehbi (M. Sc.)
2211 B/P/RI Extraction of Respiration Information from Electrocardiography and Chest Movement Digital Health,
Data Analytics,
Machine Learning
Robert Richer (M. Sc.),
Daniel Krauß (M. Sc.)
2211 M/P/RI Gait sequence detection using head-worn IMU sensors (or similar Gait Analysis Topics) Movement Analysis, Machine Learning, Data Analytics, Ann-Kristin Seifer (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 Analatics, 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 Nils Roth (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.)
2217 M/P/I/RI Perception Reaction Time Analysis in Directed Movements while Playing Tennis in Virtual Reality (VR). The aim is to decompose the total reaction time of a player into the perception time and the movement time. The total reaction time is the span between presentation of a stimulus (ball gets visible) and a successful hit by the player. During perception the player’s movement is undirected. After perceiving the ball and movement planning the movement gets directed. This behavior will be investigated in this thesis. VR, HCI Wolfgang Mehringer (M. Sc.)
2218 M/P/I/RI (Re-)Eye-dentification: Eye behavior for identifying individuals. The aim is to create a classification that identifies user based on their eye behavior (movement, blinking, …). This enables an interesting log-in interaction for Extended Reality (XR) devices. XR, Eye-Tracking, HCI Wolfgang Mehringer (M. Sc.)
2219 M/P/I/B Prediction of dynamic foot placement for healthy persons and patients suffering from Parkinson’s disease Movement Analysis, Machine Learning Sophie Fleischmann (M. Sc.)
2220 M / P / RI User guidance to increase intention for personal health data sharing, taking privacy and acceptance measures into account Digital Health, HCI Anastasiya Zakreuskaya (M. Sc.),
René Raab (M. Sc.)
2222 M / P Polar Bear Behavior Analysis, ReIdentification of Polar Bears/Animals Machine Learning, Computer Vision Matthias Zürl (M. Sc.)
2223 B / P Influence of marker placement on machine learning tasks Gait, Machine Learning Sophie Fleischmann (M. Sc.)

Student Assistant Jobs

Job ID Topic Area Supervisor
J-21003 Student assistant for the development of a dash app to visualize visitor tracking information including an authentification method Web Design, Data Visualization Franz Köferl (M. Sc.)
J-21010 Studentische Hilfskraft für Projekt AI4Gov – KI im öffentlichen Sektor im Präsidialstab der FAU (Strategische Projekte) Web Design, Social Media Philipp Dumbach (M. Sc.)
J-22005 Student assistant in the domain of recommender systems for health promotion Algorithm Design, Literature research, Scientific work Dr.-Ing. Heike Leutheuser
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-22007 Studentische Hilfskraft für Projekte EELISA und AI4Gov im Präsidialstab der FAU (Strategische Projekte) Social Media, Marketing, Eventmanagement Philipp Dumbach (M. Sc.)
J-22007 Algorithm Design, Literature research, Scientific work Ann-Kristin Seifer (M. Sc.)

Application Form






    The general data privacy statement applies to the data transmitted with this form, its purpose, necessity and its legal basis.

    (German translation: Hinsichtlich der mit diesem Formular übertragenen Daten, deren Zweck, Notwendigkeit und dessen rechtlichen Grundlagen gelten die allgemeinen Hinweise in der Datenschutzerklärung.)

     

    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? (*)

    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.

    If you have additional interests in an area, or wish to describe your own topic, select one of our research areas:
    Human-Computer InteractionMachine LearningBiomechanicsWearable ComputingGait AnalyticsDigital PsychologyML for Industry