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 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 Task
[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.) |
| 2020 | B/M/P/RI | Investigation of a Blockchain-based service network for digitalisation of the maternity log (Mutterpass) in the German healthcare system. Focus is on consumer-to-(healthcare-)provider transactions and verifications and anonymous information storage of the maternity log contents on the Blockchain using smart contracts. | Digital Health | Dr.-Ing. Stefan Gradl, Michael Nissen (M. Sc.), Dr. rer. nat. Hanna Hübner (Frauenklinik, UK Erlangen) |
| 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.) |
| 2033 | M | Clustering of disease trajectories and prediction of outcomes from large real-world datasets | Digital Health, Machine Learning | Novartis Institutes for Biomedical Research Translational Medicine |
| 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) |
| 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 IMU sensors integrated into Hearing Aids. Implementation and evaluation of an activity recognition algorithm. |
Machine Learning, Signal Processing | Ann-Kristin Seifer (M. Sc.) |
| 2101 | B/M | Prediction of MRI Patient Experience, Physiological Stress, and Behavioral Outcomes from Psychological Variables (in collaboration with Chair of Health Psychology and Siemens Healthineers) |
Machine Learning, Health Psychology |
Robert Richer (M. Sc.), Janika Madl (M. Sc.), Prof. Dr. Nicolas Rohleder |
| 2102 | M/P | Artificial Intelligence trends in healthcare – Application of topic clustering and sentiment analysis using podcast data | Data Analysis, Machine Learning | Philipp Dumbach (M. Sc.), Leo Schwinn (M. Sc.) |
| 2104 | M / P | Digitale KFZ-Schadensbearbeitung (in Kooperation mit HUK-Coburg) | Deep Learning, Natural Language Processing, Augmented Reality |
Dr. Matthias Ring (HUK-Coburg), Prof. Dr. Björn Eskofier |
| 2105 | M / P | Automatic animal behaviour measurements for captive polar bears (in collaboration with the zoo Nürnberg) |
Data Analysis, Computer Vision, Deep Learning |
Matthias Zürl (M. Sc.) Dr. Dario Zanca |
| 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, |
| 2107 | M | Improvement of an EMG-based interface by incremental learning (in cooperation with DLR) |
Machine Learning | Annette Hagengruber (Dipl.-Ing), |
| 2108 | P/I/RI | Wearable based Biomedical Signal Analysis in Sports | Sports Analytics, Signal Processing, Digital Health
|
Markus Wirth (M. Sc.) |
| 2109 | BA | Sports Analytics, Signal Processing, Digital Health | Markus Wirth (M. Sc.) | |
| 2110 | M / P | Individual recognition of captive polar bears based on video analysis (in collaboration with the zoo Nürnberg) |
Data Analysis, Computer Vision, Deep Learning |
Matthias Zürl (M. Sc.) Dr. Dario Zanca |
| 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 |
| 2112 | M / P | “stress-in-a-box” – A web application for stress assessment Further development and evaluation of digital stressors (in collaboration with Chair of Health Psychology) |
Web Development, HCI, Health Psychology | Robert Richer (M. Sc.), Markus Wirth (M. Sc.), Prof. Dr. Nicolas Rohleder |
| 2113 | M | Visual Attention Modeling by Means of Minimization of the Stimulus Reconstruction Error | Computer vision, Neuroscience | Dr. Dario Zanca An Nguyen (M. Sc.) Leo Schwinn (M. Sc.) |
Student Assistant Jobs
| Job ID | Topic | Area | Supervisor |
| 2002 | Deep Learning/Machine Learning for Mixed-Type and Irregularly Sampled Time Series Analysis | Deep Learning, Machine Learning, Time Series Analysis | An Nguyen (M. Sc.) |
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