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 |
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| 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, |
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 |
| 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) |
| 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-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.) |
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