24.07.2026

Studentische Hilfskraft (m/w/d) für den Produktsupport

Ab Sofort | Innenstadt München | 6–12 Stunden/Woche | Flexible Arbeitszeiten
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Kontakt: cloud@it.tum.de

23.07.2026

Tutor/in für Biostatistik II (Studentische Hilfskraft) (m/w/d)

Zum 01.10.2026 ist eine Stelle als Tutor/in für Biostatistik II (Studentische Hilfskraft) (m/w/d) mit einer Arbeitszeit von 6 Stunden pro Woche befristet bis zum 28.02.2027 zu besetzen.
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Kontakt: lehrstuhl.epidemiologie@mh.tum.de

22.07.2026

Studentische Hilfskraft - Tutor Human-Robot Interaction Seminar

We are seeking a tutor (m/f/x) for our interdisciplinary seminar “Human-Robot Interaction” for the Winter Term 2026/27.
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Kontakt:  jakob.reinhardt@tum.de

09.07.2026

Student Assistant (Hiwi) – Medical Education Research

Student assistant (8 hrs/week, from October 2026, min. 6–12 months) sought for the DFG-funded SHARP project at the TUM Medical Education Center – tasks include literature review, data collection, and annotation for an AI-supported, simulation-based learning environment on ward round communication; open to all fields of study, especially computer science/AI, cognitive science, or sociology.
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Kontakt: goksu.kahraman@tum.de

25.06.2026

Student Assistant (m/f/d) at the Munich Design Institute

The Munich Design Institute (MDI) is looking for a student assistant (12 - 20 hrs/week) with a background in design and an interest in design research. The MDI is in an active phase of development – we are looking for someone who wants to contribute to that process and work in a creative, societally relevant research environment. The position has a minimum duration of two semesters.
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Kontakt:  applications.mdi@tum.de

24.06.2026

Masterarbeit/Master thesis in protein engineering and directed evolution

Master thesis in directed evolution to engineer substrate specificity of methionine sulfoxide reductase; suitable for students from biochemistry or related study programs.
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Kontakt: ulschan.bathe@tum.de

03.06.2026

Studentische Hilfskräfte für Delirprojekt am Deutschen Herzzentrum München gesucht

- Durchführung von postoperativen Delir- Screenings anhand eines standardisierten Protokolls - Arbeitsumfang: 4- 8 Stunden pro Woche - Zeitraum: ab Juni/ Juli 2026 (Ende offen) - Arbeitsort: TUM Universitätsklinikum Deutsches Herzzentrum München
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Kontakt: svenja.letz@tum.de

18.05.2026

Praktikantenstellen - GPU-Accelerated Reachability Analysis for Tumbling Space Objects using CUDA C++

At the Institute of Robotics and Mechatronics of the German Aerospace Center (DLR), we develop advanced autonomy algorithms for robotic proximity operations in orbit. The rapid growth of orbital debris and the increasing number of uncooperative satellites require robust algorithms enabling servicer spacecraft to safely interact with tumbling targets whose orientation and inertia properties are uncertain.

A key safety challenge in such scenarios is predicting all possible future rotational states of a tumbling rigid body under uncertainty. Reachability analysis provides mathematically guaranteed over-approximations of these future states. However, classical conservative reachability techniques often suffer from excessive bound growth when applied to nonlinear attitude dynamics. On compact spaces such as SO(3), the resulting over-approximations may rapidly cover the entire manifold even over short time horizons, significantly reducing their usefulness for practical analysis.

Recent work has proposed a reachability framework based on numerical estimation of Lipschitz constants derived from sensitivity equations of the rigid-body dynamics. This method constructs conservative convex hull over-approximations of reachable orientations while avoiding the rapid bound inflation typical of classical approaches. The framework is particularly well-suited for parallel evaluation and therefore benefits significantly from GPU acceleration.

The goal of this internship is to develop a high-performance implementation of this reachability framework using CUDA C++ in order to enable real-time reachable-set computation for tumbling space objects.

Your Contribution

We are seeking a motivated student interested in high-performance computing and space robotics to implement GPU-accelerated reachability algorithms for uncertain rigid-body attitude dynamics.

You will:

• Study the existing reachability framework based on Lipschitz constant estimation for rigid-body attitude dynamics on SO(3).
• Implement numerical evaluation of the rigid-body dynamics flow map (see Sec. 4.1.3–4.1.4 in [1]) and associated Lipschitz constant.
• Develop a CUDA C++ implementation to evaluate large numbers of samples in parallel.
• Implement GPU kernels for estimating local Lipschitz constants and constructing convex hull reachable-set over-approximations.
• Optimize memory layout, kernel execution, and parallel workload distribution.
• Validate the implementation on realistic tumbling satellite scenarios inspired by ESA's ENVISAT case studies.
• Benchmark computational performance and analyze scalability with respect to the number of sampled trajectories.

Project Scope

• Implementation of existing forward reachability analysis method for rigid body attitude dynamics using CUDA C++.
• Validation using simulated tumbling debris scenarios.
• Performance analysis with respect to runtime, scalability, and suitability for real-time applications.

Your Qualifications

• Enrolled in a Bachelor’s or Master’s program in Aerospace Engineering, Computer Science, Robotics, Applied Mathematics, or a related field.
• Strong programming skills in C++.
• Strong interest or experience in parallel computing or GPU programming.
• Interest in space robotics or spacecraft dynamics.
• Ability to work independently and systematically.

We Offer

• Hands-on experience with GPU programming and high-performance scientific computing.
• Work on a real research problem relevant to autonomous space missions.
• Collaboration within a leading research institute in space robotics.
• Insight into advanced reachability analysis methods for safety-critical systems.
• Opportunity to contribute to ongoing research publications (subject to approval).

This internship is ideal for students interested in GPU computing, numerical simulation, and space applications, and who enjoy translating advanced algorithms into efficient high-performance implementations.

Supervisors: Alessandro Melone, Roberto Lampariello.

Kontakt: alessandro.melone@dlr.de, roberto.lampariello@dlr.de

13.05.2026

Studentische Mitarbeiterinnen & Mitarbeiter am TUM Institute for LifeLong Learning (8-20 Std/Woche)

Wir suchen am TUM Institute for LifeLong Learning ab sofort und zunächst befristet für 12 Monate Studentische Mitarbeiterinnen & Mitarbeiter (8-20 Std/Woche)
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Kontakt: recruiting.pd@lll.tum.de

13.05.2026

Studentische Mitarbeiterin & Mitarbeiter am TUM Institute for LifeLong Learning

Wir suchen am TUM Institute for LifeLong Learning ab sofort und zunächst befristet für 12 Monate Studentische Mitarbeiterinnen & Mitarbeiter (8-20 Std/Woche)
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Kontakt: Dr. Johanna Platter: recruiting.pd@lll.tum.de