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Student assistants, internships, student research projects
29.07.2026
Development of Chromatographic Strategies for the Purification of Bioactive Lectins from Fungal Mycelium
Kontakt: Bhagyeshri Ulhas Mantri; b.mantri@tum.de
29.07.2026
Development of an Enrichment Strategy for Lectins from Submerged-Grown Agrocybe aegerita Mycelium
Bachelor’s / Semester /Master’s thesis
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Kontakt: Contact person: Bhagyeshri Ulhas Mantri; b.mantri@tum.de
29.07.2026
Masterthesis/Internship (m/f/d) – Characterization and evaluation of the electronic-nose sensor array
We are looking for a motivated master's student intern to join the electronic-nose (Enose) AI diagnosis Project for a three-month internship, starting as soon as possible, focusing on experimental characterization and evaluation of the electronic-nose sensor array.
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Kontakt: shanye.yang@tum.de
28.07.2026
Working Student/Master Thesis Quantum Sensor Photonics (Deep Tech Startup)
Join Munich Quantum Instruments (MQI), a deep tech startup developing scalable photonic quantum sensors, as a Master's student working hands-on on 3D-printed optics, assembly, and characterization of next-generation quantum sensors for applications like quantum computing and deep space communication.
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27.07.2026
Master Thesis on Electrochemically Controlled Selective Diazotization and Azocoupling Chemistry (Flexible Starting Dates)
We are seeking a Master's thesis student on the electrochemical synthesis of diazonium compounds, background in lab work and interest in organic synthesis and electrochemistry are required.
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Kontakt: pooja.sindhu@tum.de
24.07.2026
Real-Time Optimization Strategies for Predictive Motion Control in Space Robotics
Master’s Thesis / Internship
Real-Time Optimization Strategies for Predictive Motion Control in Space Robotics (f/m/x)
Space robotics is an emerging field of growing relevance for applications such as on-orbit servicing, on-orbit assembly, and active debris removal. In these domains, robotic motion and interaction take place in highly constrained environments and under strict computational and safety requirements. Recent research has shown that Model Predictive Control (MPC) can provide perfromant motion control while explicitly accounting for constraints and uncertainties.
Robotic control problems are inherently nonlinear. Therefore, applying Nonlinear Model Predictive Control (NMPC) in real time requires an efficient formulation of the optimal control problem, together with a carefully selected discretization and solution strategy. Previous work has investigated an offline optimization procedure for identifying the most effective discretization methods. This thesis will investigate convexification methods to improve runtime performance on space-representative hardware while maintaining satisfactory closed-loop performance.
Your Contribution
We are seeking a motivated master’s student with an interest in space robotics to implement an onboard model predictive controller.
Your Tasks
- Implement an existing NMPC controller on space-representative real-time hardware.
- Investigate successive convexification strategies for nonlinear operational constraints.
- Derive bounds on the model mismatch introduced by convexification.
- Benchmark runtime performance and closed-loop behavior on real-time hardware.
Your Qualifications
- Currently enrolled in a master’s program in aerospace engineering, mechatronics, computer science, robotics, mathematics, or a related field.
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Strong programming skills in
C/C++; experience with real-time or embedded implementation is a plus. - Working knowledge of MATLAB or Python is preferred.
- Strong interest in space robotics or spacecraft dynamics.
- Familiarity with Model Predictive Control and numerical optimization is an advantage.
We Offer
- The opportunity to work on a real-world research problem relevant to autonomous space missions.
- Collaboration within a leading research institute in space robotics.
- Insight into robust model predictive control for safety-critical systems.
This thesis is ideal for students interested in embedded optimization, numerical simulation, and space applications who enjoy translating advanced algorithms into efficient, high-performance implementations.
Supervisors: Peter Kötting and Roberto Lampariello
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Kontakt: Peter.Koetting@dlr.de, Roberto.Lampariello@dlr.de
24.07.2026
Real-Time Optimization Strategies for Predictive Motion Control in Space Robotics
This thesis is ideal for students interested in embedded optimization,numerical simulation, and space applications who enjoy translating advanced algorithms into efficient, high-performance implementations.
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Kontakt: Peter.Koetting@dlr.de, Roberto.Lampariello@dlr.de
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
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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