Student Theses and Jobs


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 Taski
[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

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.)
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)
Thomas Altstidl (M. Sc.)
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 the hearing aids integrated inertial sensors

Implementation and evaluation of an deep learning/machine learning based activity recognition algorithm.

Machine Learning, Signal Processing Ann-Kristin Seifer (M. Sc.)
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
2108 P/I/RI Wearable-based Biomedical Signal Analysis in Sports Sports Analytics, Signal Processing, Digital Health


Markus Wirth (M. Sc.)
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
2113 M / P Unsupervised Modeling of Human Visual Attention Computer Vision,
Deep Learning,
Dr. Dario Zanca,
An Nguyen (M. Sc.),
Leo Schwinn (M. Sc.)
2116 P/B Real-Time Person Detection on Jetson Nvidia Hardware using Pytorch Computer vision,
Deep Learning
Franz Köferl (M. Sc.);

René Raab (M. Sc.)

2117 P/M On-Device automatic (Markerless) Multi-Camera (Re)-Calibration using a central Synchronisation-Unit Computer vision,
Deep Learning
Franz Köferl (M. Sc.)
2118 P/B Position estimation on RGB-Images using a floorplan in a single camera system Computer vision Franz Köferl (M. Sc.),
Thomas Altstidl (M. Sc.),
Matthias Zürl (M. Sc.)
2119 P/M Estimating Trajectories of Multiple Persons on a single RGB Camera Computer vision,
Deep Learning
Franz Köferl (M. Sc.),
Leo Schwinn (M. Sc.)
2120 M How much does the internet know about me? – Using meta-information and images for automatic information retrieval from the internet Machine Learning,
Computer Vision,
Deep Learning
Franz Köferl (M. Sc.),
Dr. Dario Zanca
2121 M / P Affective Behavior Analysis in-the-wild: valence and arousal estimation Computer Vision,
Deep Learning
Franz Köferl (M. Sc.),Hamid Moradi (M. Sc.)
Dr. Dario Zanca
2122 RI The digital fetus – Collecting fetal health parameters during pregnancy for automatic assessment of fetal wellbeing Digital Health Katharina Jäger (M. Sc.),
Dr.-Ing. Stefan Gradl
2123 M Running analysis based on pressure insoles Machine Learning,
Deep Learning,
Sports Performance Analysis
Maike Stöve (M. Sc.)
2125 M Time Series Data Augmentation for online handwriting recognition Machine Learning, Deep Learning Mohamad Wehbi (M. Sc.)
2126 M / P / RI Catching your Eye: On the Relationship between Visual Attention and Decision-Making of CNNs Computer vision,
Deep Learning
Dr. Dario Zanca,
Thomas Altstidl (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.)
2128 M Turning an adversary into a friend: Improving tracking using adversarial markers in deep networks Deep Learning,
Computer Vision
Franz Köferl (M. Sc.),
Leo Schwinn (M. Sc.)
2129 RI 2x Research Internship: Literature Research for “Predictive Models for Health Deterioration”

These research internships are dedicated to help preparing an overview article regarding “Predictive Models for Health Deteriorization”, which is a central strategy pillar of the MaD Lab. You will work in close cooperation with Prof. Eskofier and do important literature research for an invited article for the “Annual Review of Biomedical Engineering” journal, which is a high-impact outlet for manuscripts that are of wide interest to the biomedical engineering community.

Digital Health, Systematic Literature Review Prof. Dr. Björn Eskofier
2130 M AI-driven biomechanical golf swing analysis Digital Sports,


Prof. Dr. Björn Eskofier,
Marlies Nitschke (M. Sc.),
Thomas Altstidl (M. Sc.)
2131 M AI-driven coaching for golf swing improvement Digital Sports,


Prof. Dr. Björn Eskofier,
Johannes Link (M. Sc.),
Mohamad Wehbi (M. Sc.)
2132 M Using Path Signatures for online signature verification Machine learning,
Deep Learning
Mohamad Wehbi (M. Sc.),
Falk Pulsmeyer (M. Sc.)
2133 M From images to trajectories, using text images for online handwriting recognition Machine learning,
Deep Learning
Mohamad Wehbi (M. Sc.)
2134 M Validation of an IMU-based motion analysis framework for the assessment of change-of-direction movementst (in collaboration with Universität Innsbruck) Biomechanics, Movement Analysis, Wearable Sensors Prof. Dr. Anne Koelewijn
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)

Student Assistant Jobs

Job ID Topic Area Supervisor
J-2101 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
J-2102 2 x positions for Data Collection for Handwriting recognition model development (German Language required) Deep Learning, Machine Learning Mohamad Wehbi (M. Sc.)
J-2103 5 x Hiwi Positions for the development of a Visitor Tracking Solution in the Deutsche Museum using Computer Vision Deep Learning, Computer Vision, Machine Learning Franz Köferl (M. Sc.)
J-2109 2 x Studentische Hilfskraft für den Bereich Outreach (Grafik-Design/Social-Media Skill) am Department Artificial Intelligence in Biomedical Engineering (AIBE)
(Deutschkenntnisse erforderlich)
Homepage, Web Design, Grafikdesign, Social Media Dr. Marlene Reuschel
J-2110 Studentische Hilfskraft für Projekt AI4Gov – KI im öffentlichen Sektor im Präsidialstab der FAU (Strategische Projekte) Web Design, Social Media, Datenanalyse Philipp Dumbach (M. Sc.)
J-2111 Student assistant for the course Maschinelles Lernen für Zeitreihen (Machine Learning for Time Series). Tasks include helping with the generation of digital teaching content and course-related activities. Deep Learning, Machine Learning, Time Series Analysis Dr. Dario Zanca
J-2112 Installation of Bump’em perturbation system in Motion Lab Biomechanics, Gait Analysis, Robotics Prof. Dr. Anne Koelewijn
Markus Gambietz
J-2113 Studentische Hilfskraft für das “Projekt Activity Recognition using IMU Sensors integrated into Hearing Aids” Time Series Analysis, Signal Processing, Data Processing Ann-Kristin Seifer (M. Sc.)

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