We are looking for motivated computer science students with research interests in LLM inference and computer systems.

This project aims to analyze the contribution of different input features to biomechanical prediction models based on wearable sensor data. The focus lies on applying and evaluating explainable AI (XAI) techniques to a transformer-based architecture. By integrating post-hoc interpretability methods with a state-of-the-art transformer model, the project aims to systematically quantify the impact of individual sensor features on the prediction of lower-body kinematics and kinetics.

Are you curious about how molecular details hidden in tissues can reveal key insights into disease? This thesis project offers you the chance to explore N-glycomics in tumors through mass spectrometry imaging.

This research investigates the visualization of medical volumes, like computed tomography (CT) scans, on a patient's body. This is to be done with the help of virtual reality glasses, overlaying the scan over a user's virtual body. The goal is to provide an easy-to-understand way in which doctors and patients can communicate about upcoming medical procedures with visual support.

We are currently building a sensor rig to equip an industrial robot with measuring capabilities. The robot is able to autonomously operate and gather measurement data. Using this, we want to build an extensive data collection of radar data in industrial settings, which will aim to accelerate the development of radar-based approaches in more diverse environments.

This projects goal is to design and evaluate smarter chunking methods for German legal texts so LLMs keep crucial context (like cross-references and conditions). You’ll analyze legal text structure, implement several chunking strategies (fixed, sliding window, semantic/agentic), and build benchmarks for retrieval and QA. Some NLP/IR familiarity helps, but all skills can be learned.

Analysis of Minimal-Complexity AVR Strategies for Small CHP Units to Ensure Grid Code Compliance

Research Internship / Master’s Thesis (TUM Campus Straubing)

This thesis is about the development and enhancement of existing simulations for fiber-optic ultrasound detection in combination with mid-IR optoacoustics. The outcome of this work will be directly applied in our experimental setup with the option for you to conduct these experiments on your own.

Super-Resolution Cardiac MRI using Conditional Diffusion Models

Are you passionate about advancing AI in online learning? Join the EngageCam project to explore cutting-edge techniques for personalized engagement detection.

The Leibniz Institute for Food Systems Biology at the Technical University of Munich (LeibnizLSB@TUM) is a prominent member of the Leibniz Association and the research group Mechanoreceptors / Section II we are currently looking for a committed Master’s Student of Biophysics/ Biochemistry/ Food Chemistry/ or related for the preparation of a Master's thesis.

The research group MITI is looking for a motivated Master's student for a thesis on surgical soft-body manipulation which might result in an academic publication for the student.The research group MITI is looking for a motivated Master's student for a thesis on surgical soft-body manipulation which might result in an academic publication for the student.

Building on Social Comparison Theory and emotion theories, the goal of this master's thesis is to explore the emotions that might account for positive or negative effects of upward social comparisons on reduced consumption behavior. You will employ a qualitative research design (e.g. focus groups) with relevant informants. The focus is on the exploration of emotions after social comparisons with target persons who act particularly sustainable in terms of reducing overall consumption. By exploring informants' subjective experiences, you will categorize and analyze the specific emotions (such as benign envy, malicious envy, shame, and inspiration) that arise from the comparison and may subsequently affect informants' the decision to consume less. Through this research, you will gain insights into how behavioral interventions and public policy promoting sustainable and reduced consumption can be refined by targeting specific emotional states via social comparisons.

This thesis explores how VLM-based scene analysis can be combined with RL-based end-to-end driving to improve decision-making in autonomous driving tasks. The project will be developed in CARLA and later tested on a real F1TENTH racing car, offering the student a rare opportunity to deploy advanced algorithms on physical hardware such as Jetson Orin / Nano.

Ich biete eine Masterarbeit im Bereich Sensorfusion an. Diese soll sich mit der multimodalen Sensorfusion in der Simulation CARLA sowie am BMW-Fahrzeug beschäftigen. Dabei soll die Echtzeitkriterien erfüllt werden.

The Human-Centered Computing and Extended Reality Lab of the Professorship for Machine Intelligence in Orthopedics seeks applicants for Bachelor/Master Thesis for the Winter Semester 2025/2026.

Have you ever dreamed of working with cells that are easy to cultivate, resistant to contamination, and can always be observed in vibrant colours under a microscope? Would you like to join us on this international adventure between the Politecnico di Milano and the TUM Campus Straubing (All TUM students are welcome and eligible!), with the opportunity to complete your Master’s thesis in Italy (ERASMUS+)? (Read more for the description of the project!)

This project aims to push the limits of memory capacity and performance by enhancing these innovative models and bringing real-world improvements over standard transformers.

This master’s thesis opportunity focuses on multimodal navigation algorithms for mobile C-arms. Participate in an interdisciplinary research project at the TUM university hospital in cooperation with the Siemens Healthineers AG.