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Abschlussarbeiten, Bachelor- und Masterarbeiten
Sie suchen gerade eine Diplomarbeit, ein Thema für eine Bachelor oder Master Thesis? Dann sind Sie hier richtig. In diesem Bereich sind Abschlussarbeiten aus allen Fakultäten zu finden.
Beachten Sie auch den entsprechenden Stichwortindex.
Wenn Sie selbst eine Diplomarbeit ausschreiben wollen, lesen Sie bitte vorher unbedingt das 'Best Practice Manual Stellenanzeigen'.
23.02.2026
Masterthesis Production and Purification of membraneproteins using E. coli and Chromatography Keywords: Process Intensification - Magnetic Nanoparticles – Immobilization
In this master’s thesis, several membrane proteins will be recombinantly produced using Escherichia coli as an expression host. These membrane will then be tested by a project partner as potential vaccines.
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Kontakt: j.galbusera@tum.de
20.02.2026
Master Thesis: Integrating World Models with Vision‑Language‑Action (VLA) Models for Autonomous Driving
Kontakt: Christian.Prehofer@tum.de
19.02.2026
Kirigami und Origami zur Erzeugung von funktionalen 3D-Strukturen aus Blechwerkstoffen
Ziel ist die Entwicklung eines softwarebasierten Generators, der aus Kirigami- und Origami-Prinzipien parametrisch unterschiedliche, funktionale und herstellbare 3D-Strukturen aus Blech erzeugt. Diese werden bzgl. Die vorgegebenen Funktionen werden zunächst virtuell bewertet und anschließend in real gefertigten Demonstratoren validiert.
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Kontakt: christoph.hartmann@tum.de
17.02.2026
MSc project: Monosemanticity in Stochastic Neural Networks (MechInterp)
Kontakt: fedor.sergeev@inf.ethz.ch
13.02.2026
LLM-based agent being augmented into the room
BA/MA: Developing AI Agents with Context-Awareness for Augmented Reality
Kontakt: Christian Eichhorn: christian.eichhorn@tum.de, Jonas Weigand: jonas.weigand@tum.de
13.02.2026
HYDRA Controller (first iteration)
Master's Thesis: Developing a Hybrid Controller for Multi-Haptic Feedback to Mimic Impulsive Forces in Virtual Reality
We want to develop a versatile Virtual Reality (VR) controller to create haptic illusions for impulsive force scenarios. For that, an active haptic device is essential. The HYbriD contRoller for multi-hAptic feedback (HYDRA) combines force feedback based
on airflow with instantaneous tactile feedback realized through a magnetically accelerated weight. We further experimented on technology to address challenges in the application of brushless motors for force feedback, specifically toroidal propellers in conjunction with options to adjust the motor layout.
In the next steps we want to refine the HYDRA concept. This includes measuring real impulsive forces and then specifically recreating them with HYDRA inside of a VR simulation (Unity-based). This will be done based on sports applications. Another aspect we want to refine is the use of specific toroidal propeller designs. At last, HYDRA allows the development of different force feedback layouts. We want to experiment with such layouts to maximize its applicability in VR simulations. Additionally, we want to further include the idea of dynamic, potentially AI-based haptics.
You need to be a student at the School of Computation, Information and Technology (CIT), e.g., Computer Science, Games Engineering, Robotics, or others. Having 3D-printing expertise and basic knowledge with electronics is a big plus! There is time to catch up, by having some buffer for preparations and learning before registering the thesis.
If you are interested, feel free to contact us via mail: christian.eichhorn@tum.de and jonas.weigand@tum.de
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Kontakt: Christian Eichhorn: christian.eichhorn@tum.de, Jonas Weigand: jonas.weigand@tum.de
13.02.2026
BASAMA:
Talk2Drive: A Conversational Preference-Aligned Driving Framework Using Multi-Modal Large Language Models
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Kontakt: yuan_avs.gao@tum.de
13.02.2026
MA: Fine-Tuning an LLM Agent for Automated OpenSCENARIO Generation and CARLA Execution
Kontakt: yuan_avs.gao@tum.de
13.02.2026
BASAMA: Learning from BEV and Dash-Camera Views: A Multimodal Large Language Model for Quantitative Risk Assessment
Kontakt: yuan_avs.gao@tum.de
13.02.2026
BASA: Generation of New Driving Scenarios in CARLA Using OpenSCENARIO
Kontakt: yuan_avs.gao@tum.de
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