09.10.2026

Master Thesis: 4D JEPA (Joint Embedding Predictive Architectures) for Cardiac MRI

Joint Embedding Predictive Architectures (JEPA) predict latent representations instead of reconstructing pixels. This thesis adapts JEPA to cine cardiac MRI in its native 4D form (3D space plus time) and compares 2D, 2D+T, 3D and 4D inputs on segmentation and functional tasks to find which format justifies its computational cost. Submit your application at the TUM Portal.
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Kontakt: sameer.ambekar@tum.de

05.10.2026

Efficient Vision Language Action (VLA) Models for Autonomous Driving

MS Thesis on VLA for autonomous driving in collaboration with DENSO Automotive
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Kontakt:  christian.prehofer@tum.de

05.10.2026

Master's Thesis: Infrastructure Support for Black-Box End-to-End Autonomous Driving – Strategies, Scenarios and Benchmarking

The Chair of Robotics, Artificial Intelligence and Real-Time Systems offers a thesis on supporting vehicle end-to-end (E2E) driving systems with roadside infrastructure perception. The vehicle's driving function is treated as a closed black box. The thesis identifies the situations in which infrastructure knowledge improves driving safety and the integration strategies through which it can do so without access to the model's internals.
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Kontakt: erik-leo.hass@tum.de

30.09.2026

Master’s theses: LLM/VLM-assisted PCB design with KiCad and related EDA tools

We are offering Master’s theses focused on integrating Large Language Models (LLMs) and Vision-Language Models (VLMs) into PCB design workflows using KiCad. The goal is to develop AI agents that automate repetitive engineering tasks, such as datasheet analysis, component placement, and layout validation. Ideal candidates should have strong programming skills (Python/C++), a basic understanding of electronics, and ideally, a background in machine learning.
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Kontakt: andre.schamschurko@tum.de

28.09.2026

Physical AI with Vision Language Action (VLA) Models in Robotics

Modern VLA models perform well on short‑horizon robotic tasks but often struggle with long‑term planning and multi‑step control. A promising direction is to enhance VLA architectures by integrating them with Physical AI models capable of understanding physical effects, e.g. for challenging, unstructured environments.
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Kontakt: christian.prehofer@tum.de

25.09.2026

Student Thesis: Robot Learning from Demonstration - Designing the Data Collection Hardware

Redesign and build a demonstration device for robot learning from demonstration, taking it from an existing CAD model to a working prototype using CAD and 3D printing. Depending on progress, the device will be used to collect demonstrations and train robot learning models such as VLAs.
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Kontakt: valdrin.aslani@tum.de

25.09.2026

MA: Language-motion models for 3D human motion generation, captioning and prediction

Start: immediately

The MSc Thesis is offered at the Chair of Perception for Intelligent Systems, headed by Prof. Achim J. Lilienthal. We will investigate the capabilities of language-motion models to generate and describe motion in specialized environments.
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Kontakt: andrey.rudenko@tum.de

24.09.2026

Bachelor and Master Theses in Eye Tracking, Shared Attention and Mixed Reality (Winter Semester 2026/27)

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Kontakt: j.grootjen@tum.de

22.09.2026

Trendanalyse: Die Zukunft der Baustoffe

Systematische Identifikation und Strukturierung zukünftiger Entwicklungen auf Basis nachvollziehbarer Quellen. Einordnung der Trends in die aktuelle Baustoff- und Materialforschung sowie Erstellung einer Stakeholdermatrix. Ableitung einer Grundlage für eine strukturierte Expertenbefragung.
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Kontakt: e.jaegle@tum.de

21.09.2026

(BA/MA) Different Topics for Literature Review in the Field of Mixed Reality

Novel and relevant technologies are emerging in the field of Mixed Reality (MR). Examples are, Large Language Model-driven agents, or rendering techniques such as Gaussian Splatting. On top of that, security and cybersecurity topics are gaining in importance. In literature reviews, a new perspective on the usage of technologies, comparisons to established ones, and future use cases can lead to a better understanding how the role of MR shifts.
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Kontakt: christian.eichhorn@tum.de