Student Theses and Jobs

Info

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 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
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)
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.)
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
2117 P/M On-Device automatic (Markerless) Multi-Camera (Re)-Calibration using a central Synchronisation-Unit Computer vision,
Deep Learning
Franz Köferl (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
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.)
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,

Biomechanics,
AI

Prof. Dr. Björn Eskofier,
Marlies Nitschke (M. Sc.),
Thomas Altstidl (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.)
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)
2138 B/P Cybercrime detection through similarity learning on address data Machine Learning Kai Klede (M. Sc.)
2140 P/M AI Trend Detection in Healthcare – Application of Topic Clustering and Sentiment Analysis Using Podcast Data Data Mining, Web Mining, Statistics Philipp Dumbach (M. Sc.), Leo Schwinn (M. Sc.)
2141 P/RI Finding the cost function of human movements – Inverse Optimal Control Biomechanics, Movement Analysis Markus Gambietz (M. Sc.)
2142 RI Research-evaluated Smartphone Apps to support Breast Cancer Prevention, Therapy and Follow-up Digital Health, HCI Madeleine Flaucher (M. Sc.)
2143 M/P/RI Open Topic in Biomechanics of Big Wave Surfing Biomechanics, Movement Analysis Markus Gambietz (M. Sc.)
2144 M/P/RI Adaptation of the Virtual Reality Stroop Room Biosignals, Digital Health, Signal Processing Veronika König (M. Sc.)
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 Adaptation and Distillation of Large 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)
2147 M/P/I/RI Strabismus assessment using Eye Tracking in Virtual Reality. An older implementation can be used as baseline. Task includes programming in Unreal Engine 4 and collecting data in a user study. VR, Eye Tracking, HCI Wolfgang Mehringer (M. Sc.)
2148 M/P/I/RI Concussion assessment based on Eye Tracking data. Task includes extensive literature research on existing strategies to use eye tracking data for Machine Learning and Deep Learning algorithms. Goal is to classify presence (and in best case even severity) of concussion based on altered visual behavior. Eye Tracking, Machine Learning / Deep Learning Wolfgang Mehringer (M. Sc.)
2149 M Development of a Magnetic Resonance Imaging
Protocol to Extract Musculoskeletal Parameters
Magnetic Resonance Imaging, Diffusion Tensor Weighting, Biomechanics Prof. Dr. Anne Koelewijn, Namra Rauf (M. Sc.)
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

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
Studentische Hilfskraft zur Unterstützung der Vorlesung Human Computer Interaction Human Computer Interaction Madeleine Flaucher (M. Sc.),
Wolfgang Mehringer (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 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.

    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