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.) |
| 2012 | M | Digital phenotyping of chronic pain patients undergoing neuromodulation (in cooperation with the Medical Faculty, Neurosurgery) |
Data Analysis, Machine Learning, Biomedical Signal Analysis |
Dr.-Ing. Felix Kluge Prof. Dr. med. Thomas M. Kinfe |
| 2014 | M/P/RI | Approximation of physical based LIDAR simulation in Blensor using Deep Learning | Machine Learning, Simulation | Franz Köferl (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 | Stefan Gradl (M. Sc.) 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 efficiently. | Deep Learning, Machine Learning, Time Series Analysis | An Nguyen (M. Sc.) |
| 2027 | P/RI | Requirements Engineering and Market Research for Pregnancy and Maternity Mobile Apps | Digital Health | Michael Nissen (M. Sc.) Stefan Gradl (M. Sc.) Dr. rer. nat. Hanna Hübner (Frauenklinik, UK Erlangen) |
| 2030 | M | Classification of localized defects on silicon carbide (SiC) wafers using domain adaptation techniques | Deep Learning, Transfer Learning, Domain Adaptation | Matthias Zürl (M. Sc.), Franz Köferl (M. Sc.), Intego GmbH |
| 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: Digitising and improving prenatal and maternal care through the use of wearables and machine learning | Digital Health, Machine Learning | Michael Nissen (M. Sc.) Stefan Gradl (M. Sc.) Dr. rer. nat. Hanna Hübner (Frauenklinik, UK Erlangen) |
| 2035 | B/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.) |
| 2044 | RI | User experience and acceptance evaluation of a digital maternity-log (Mutterpass) application as well as wearable and smart devices in the context of home-use | HCI, Digital Health | Katharina Jäger (M. Sc.)
Stefan Gradl (M. Sc.) |
| 2046 | M | Adversarial Robustness through Saliency-based Noise Injection | Adversarial Machine Learning, Saliency, Deep Learning | Leo Schwinn (M. Sc.) |
| 2047 | RI | 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 | P/RI | Artificial Intelligence trends in healthcare – Evaluation and application of topic clustering methods using podcast data | Data Analysis, Machine Learning | Philipp Dumbach (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 (focus on fundamentals) | Deep Learning, Machine Learning, Time Series Analysis | An Nguyen (M. Sc.) |
| 2003 | Deep Learning for Adversarial Robustness | Deep Learning, Adversarial Robustness | Leo Schwinn (M. Sc.) |
| 2004 | Teaching assistant for the course “Machine Learning for Engineers” | Machine Learning | Franz Köferl (M. Sc.) |
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