01.08.2026

Master's Thesis: Quantum Sensor Characterisation

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Kontakt: career@munich-quantum-instruments.com

31.07.2026

Abschlussarbeit (Bachelor/Master) – Leistungsdiagnostik mit Wearables: Professur für Experimentelle Trainingswissenschaft

Im Rahmen eines durch die EU geförderten Innovations- und Forschungsprojekts ist an der Professur für Experimentelle Trainingswissenschaft eine Abschlussarbeit mit aktiver Mitarbeit bei der Datenerhebung (Laufband-Spiroergometrie, EMG, NIRS, IMUs u.a.) zu vergeben.
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Kontakt: lars.heinrich@tum.de

31.07.2026

Praktikant/in (m/w/d) – Leistungsdiagnostik mit Wearables: Experimentelle Trainingswissenschaft

Die Professur für Experimentelle Trainingswissenschaft sucht ab sofort bzw. flexibel eine/n Praktikant/in zur Unterstützung in der umfassenden Datenerhebung im Bereich der Leistungsdiagnostik mittels Wearable-Technologien.
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Kontakt: lars.heinrich@tum.de

29.07.2026

Development of Chromatographic Strategies for the Purification of Bioactive Lectins from Fungal Mycelium

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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 Lectins are promising bioactive proteins with applications in biotechnology, diagnostics, and therapeutics. However, efficient downstream recovery from fungal mycelium remains a major challenge due to the co-extraction of intracellular proteins and structural polysaccharides. This project aims to develop and compare enrichment strategies that maximize recovery of biologically active lectins while reducing impurities prior to chromatographic purification. The student will investigate different enrichment technologies—including ammonium sulfate precipitation, ethanol precipitation, and, where feasible, membrane-based concentration or other scalable separation methods—and evaluate their impact on protein recovery, polysaccharide removal, lectin activity, and compatibility with subsequent ion-exchange and affinity chromatography. The project combines biochemical characterization with downstream process engineering and contributes to the development of an integrated purification process for fungal lectins More information can be found under this link: https://www.epe.ed.tum.de/fileadmin/w00bzo/biose/_my_direct_uploads/Thesis_15072026.pdf
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Kontakt: Contact person: Bhagyeshri Ulhas Mantri; b.mantri@tum.de

29.07.2026

Master Internship (m/f/d) – 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)

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Kontakt: career@munich-quantum-instruments.com

27.07.2026

Master Thesis on Electrochemically Controlled Selective Diazotization and Azocoupling Chemistry (Flexible Starting Dates)

Hier finden Sie Stellen für Studentische Hilfskräfte, Praktikantenstellen an der TU München sowie Studienarbeiten
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Kontakt: pooja.sindhu@tum.de

24.07.2026

Real-Time Optimization Strategies for Predictive Motion Control in Space Robotics

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.
• 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

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