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Student Theses and Jobs

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We always have open topics for Bachelor and Master Theses, Froschungspraktika, 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, usually within two days.

Open Research Topics

[B] = More suited for a Bachelor’s Thesis
[M] = More suited for a Master’s Thesis
[P] = More suited for a Project
[I] = Implementation Task (for Computer Science “Master Project” or Medical Engineering “Research Internship” (Forschungspraktikum))

 

Thesis ID Scope Topic Area Supervisor
1823 M/P Implementation and Evaluation of a Perceptual-Cognitive Training Tool for Football Player in Virtual Reality HCI Markus Wirth, M. Sc.,
Stefan Gradl, M. Sc.
1824 B/P Assessing Action Orientation of Athletes in a Gamified Virtual Environment HCI Markus Wirth, M. Sc.,
Stefan Gradl, M. Sc.
1829-114 B/M/I/P Stress and Biofeedback Relaxation in Virtual Reality Biosignal Analysis,
HCI		 Stefan Gradl, M. Sc.,
Robert Richer, M. Sc.,
Markus Wirth, M. Sc.
1840 I/P Design and Development of a Hardware Test Bench for Wearable Sensors (e.g. IMU sensors) Wearable Computing,
Mechanical Engineering		 Nils Roth, M. Sc.,
Arne Küderle, M. Sc.,
Robert Richer, M. Sc.
1842 I/P Development of a automated Software Testing Framework for Wearable Sensors (e.g. IMU sensors) Wearable Computing,
DevOps,
Software Development		 Nils Roth, M. Sc.,
Arne Küderle, M. Sc.,
Robert Richer, M. Sc.
1910 B/P/M Design of accelerator programs in MedTech and Digital Health – Perspective of industry experts and investors in the framework of a qualitative-empirical study Startup Development,
Innovation Management		 Philipp Dumbach, M. Sc.
1911 B/P/M Incubation programs within the European ecosystem – A qualitative-empirical study for analysing the perspective of entrepreneurs and startups Startup Development,
Innovation Management		 Philipp Dumbach, M. Sc.
1919-114 B/M/P/I Influences of the Office Work Environment on Team- and Personal-Stress. Development of a Classification Algorithm for Team-Stress. Machine Learning Stefan Gradl, M. Sc.
1921 I/P/M Building the next generation of gait analysis pipelines (Combine the state of the art of every part of an IMU based Gait Analysis and evaluate the results against existing methods) Data Analysis.
Gait Analysis,
Control Theory		 Arne Küderle, M. Sc.
1923 B/M Implementation and Evaluation of Extended Reality Concepts for Exploring Consumer Products based on Computer Tomographic Data. HCI Markus Wirth, M. Sc.
1924 M/P Gait analysis for Parkinson’s disease Data Analytics / Gait Analysis Nooshin Haji Ghassemi,
Arne Kuederle
1925 B Improving the performance of DTW as stride segmentation algorithm Algorithm Implementation / Data Analytics / Python Arne Küderle, M. Sc.
1926 M CAD2Image: Image Synthesis using CAD Models to Augment Training Data Neural Networks / Image Rendering / Python Philipp Schlieper, M. Sc.,

Franz Köferl, M. Sc.
1927 I/P StereoViper – 3D stimuli for assessment and training of stereoacuity HCI, Computer Vision Wolfgang Mehringer, M. Sc.
1928 B/M Detection of semi-standardized tests from free-living gait recordings in Parkinson’s disease Data Analytics / Gait Analysis Martin Ullrich, M. Sc.
1929 I/B/P Simple augmentation of an image database using CAD models to improve deep learning models Neural Networks / Image Rendering / Python Franz Köferl, M. Sc.
1930 I/B/P Increasing stability in GAN training using past exploration Neural Networks Franz Köferl, M. Sc.
1931 I/B/P/M Exploration and Implementation of anomaly segmentation techniques in images Machine Learning, Neural Networks Franz Köferl, M. Sc.
1932 I/B/P Regression in 3D environments by fitting to simple distribution models Machine Learning, Neural Networks, Point Clouds Franz Köferl, M. Sc.
1933 B/M How accurate are IMU-assessed gait variability measures and which features of IMU raw signals predict errors in gait parameter estimation? Gait Analysis, Machine Learning Malte Ollenschläger, M. Sc.

Arne Küderle, M. Sc.
2001 I/(B)/M “Stress in a Box” – A mobile application for acute stress induction
(in cooperation with Chair of Health Psychology, FAU)		 Mobile App Development,
Biomedical Signal Analysis,
Health Psychology		 Robert Richer, M. Sc.,
Arne Küderle, M. Sc.,
Prof. Dr. Nicolas Rohleder
2002 B/M/P/I The smart maternity log (“Mutterpass”), developing a smartphone app for pregnancy monitoring in an effort for long-term digitalisation in the German Healthcare system.

AND/OR

Pregnancy monitoring using several “homekit” smart devices and the Apple Watch. Assessment of the physical wellbeing of the mother and fetus and the psychological wellbeing of the mother and her partner.

 Mobile App Development,
Biomedical Signal Analysis,
Health Psychology,
Machine Learning		 Stefan Gradl, M. Sc.

Dr. rer. nat. Hanna Hübner (Frauenklinik, UK Erlangen)
2003 B/M/P/I Assessing the Effect of Neurofeedback based Training in Virtual Reality HCI Markus Wirth, M. Sc.

Student Assistant Jobs

Job ID Topic Area Supervisor
J1701 Student helping with the exercises in our courses Lectures/Exercises Wolfgang Mehringer, M. Sc.
J1904 Student researcher helping with topics in the field of Deep Learning or/and Process Mining Research An Nguyen, M. Sc.
J1905 Student researcher solving regression problems in 3D environments or/and anomaly segmentation in images Research 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)

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.