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)(currently on hold due to covid-19)
Data Analysis,
Machine Learning,
Biomedical Signal Analysis
Dr.-Ing. Felix Kluge,
Prof. Dr. med. Thomas M. Kinfe
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,

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
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.)

Dr. Dario Zanca

2121 P Affective Behavior Analysis in-the-wild: valence and arousal estimation 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 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.)

Dr. Dario Zanca

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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    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.