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.) |
| 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, |
| 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 |
| 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 / P | Unsupervised Modeling of Human Visual Attention | Computer vision, Deep Learning, Neuroscience |
Dr. Dario Zanca An Nguyen (M. Sc.) Leo Schwinn (M. Sc.) |
| 2114 | B/M/I/RI | Impacts of Visualization Techniques on Cyberchondria and Motivation of Pregnant Women in a Digital Maternity Record Application | Digital Health, Machine Learning | Michael Nissen (M. Sc.), Dr.-Ing. Stefan Gradl, Dr. rer. nat. Hanna Hübner (Frauenklinik, UK Erlangen) |
| 2115 | B/M | Mobile Cardiopulmonary Exercise Testing on the trampoline | Digital Health | Prof. Dr. Björn Eskofier
Dr. rer. biol. hum. Dr. med. Isabelle Schöffl (Kinderkardiologie, UK Erlangen) |
| 2116 | P/B | Real-Time Persondetection 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)-Kalibration 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 me? – Using meta-information and images for automatic information retrieval from the internet | Machine Learning, Computer Vision, Deep Learning |
Franz Köferl (M. Sc.) |
| 2121 | P | Affective Behavior Analysis in-the-wild: valence and arousal estimation | Computer vision, Deep Learning |
Franz Köferl (M. Sc.) |
| 2122 | RI | The digital fetus – Collecting fetal health parameters during pregnancy for automatic assessment of fetal wellbeing | Digital Health | Katharina Jäger (M. Sc.) |
| 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 | Understanding locality and generalization in deep CNNs | Computer vision, Deep Learning |
Dr. Dario Zanca |
| 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.) |
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.) |
| 2003 | Data Collection for Handwriting recognition model development | Deep Learning, Machine Learning | Mohamad Wehbi (M. Sc.) |
| 2004 | 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.) |
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