This project aims to improve boring exercises with real-time motion tracking and gamification approaches in combination with musculoskeletal simulations to get meaningful outputs.

Abschlussarbeiten Sommersemester 2026 Die Professur Fire Science and Engineering bietet im Sommersemester 2026 insgesamt 19 Abschlussarbeiten (Bachelor- und Masterarbeiten) an. Alle Themen sowie weitere Detailinformationen sind im Anhang aufgeführt. Gesucht werden Studierende aus den Studiengängen: Bauingenieurwesen, Maschinenbau und Umweltingenieurwesen. Bei Interesse freuen wir uns über Ihre Kontaktaufnahme!

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 is currently looking for a committed Master’s Student of Biophysics/ Biochemistry/ Food Chemistry/ or related for the preparation of a Master's thesis to start in Summer/Fall 2026.

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

You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant research environment? Then let’s design the energy systems of the future together!

This Master’s thesis focuses on the analysis, modeling, and interpretation of high‑resolution climate data from forest edge environments. Using long‑term measurements of temperature, moisture, and radiation, the work aims to identify and quantify microclimatic patterns related to different forest edge structures.

How does human posture change when drill height, tool design or applied force vary? Find out – using real biomechanical data from the CoSiMMI research project! In this thesis you will develop an AI model that predicts realistic working posture form joint angles, EMG, grip forces and force-plate data. Your work will help design more ergonomic tools and explore how AI van truly understand human movement. Interested in machine learning, biomechanics and real-world data? Join us! Requirements: Interest in biomechanics, ergonomics, or AI Basic skills in Python or MATLAB First experience with machine learning is an advantage Enjoyment of data analysid and modeling The project can also be completed as a team – feel free to encourage interested friends or fellow students to join and apply together. For more insights into the project please contact me.

Master thesis/Masterarbeit

Externe Masterarbeit oder Forschungspraxis bei Sureel.ai .

Are you curious how your knee feels during all the things you do throughout the day? This project aims to reconstruct and improve a semi-automated biomechanical simulation pipeline.

Talk2Drive: A Conversational Preference-Aligned Driving Framework Using Multi-Modal Large Language Models