This research internship focuses on building a comprehensive promoter database for Bacillus subtilis. Candidates will identify and analyze strong promoters based on literature and SubtiWiki, assess their suitability for recombinant protein expression, and evaluate potential tandem promoter combinations. The project supports the development of next-generation microbial production systems for sustainable agriculture.

Master thesis - Start ASAP

Our chair has an ongoing cooperation with MAN Truck & Bus for autonomous driving for trucks in highway traffic. Within this cooperation, we want to develop a concept for monitoring traffic rules and ensuring compliance with them in motion planning. The approach should be implemented within an existing autonomous driving stack and tested in simulation and real test drives. Please find more information here If you have any questions, do not hesitate to write an email to sebi.mair@tum.de!

High-gradient magnetic separation (HGMS) is a powerful technique for isolating magnetic particles from fluids. Recent studies have demonstrated its potential for purifying biomolecules and emphasized the need for optimized, non-traditional matrix geometries. To enable flexible lab-scale applications, miniaturized HGMS designs must be developed, simulated, and engineered for efficient particle capture. '.

As humanoid robots begin to find potential applications in care environments, it becomes increasingly important to understand how their behavior, particularly their gait motion, affects human acceptance. This thesis explores how gait motion are precieved and how it impacts our acceptance of humanoid robots.

The Chair of Robotics, Artificial Intelligence, and Real-Time Systems offers a Master’s thesis opportunity in the field of multi-modal sensor fusion. The project focuses on extending NVIDIA BEVFusion to integrate 8 cameras, 1 LiDAR, and 4 RADAR sensors within a real-time DeepStream pipeline. The goal is to reduce inference latency from ~35 ms to around 20 ms while improving robustness and accuracy in 360° perception.

The Leibniz Institute for Food Systems Biology at the Technical University of Munich (LeibnizLSB@TUM) is a prominent member of the Leibniz Association. The working group Food Biopolymer Chemistry is currently looking for a committed master’s student to work on a project supervised by Kim Lorenz and Prof. Dr. Katharina Scherf as part of a master's thesis. The time frame for the thesis is six months.

Wir bieten eine Abschlussarbeit an der Professur Fire Science and Engineering - TUM School ED - Department Civil and Environmental Engineering an.

The Chair of Business Ethics and the Institute for Ethics in AI (Prof. Dr. Christoph Lütge) offers project studies/work (e.g., WI000684), research internships (e.g., MCTS0047, POL30001) in the following areas: AI chatbots in healthcare: Ethical considerations Background. As AI-empowered decision-support systems become more widespread and accessible to the public, individuals are increasingly delegating their decisions to these tools, including those involving ethical considerations, such as decisions in healthcare. For example, algorithms can guide the allocation of scarce medical resources, such as donated organs (Meier et al., 2022). ChatGPT, specifically, has demonstrated promise in improving triage accuracy in emergency departments (Kaboudi et al., 2024) and can serve as a personal therapist by delivering mental health support to individuals in real-time (Alanezi, 2024). This growing integrating into highly sensitive and personal decision-making brings substantial societal implications and risks, such as emerging responsibility gaps, the reinforcement of existing biases, limitations on data privacy, or moral deskilling (e.g., Hagendorff, 2024; Poszler & Lange, 2024). Goal & tasks. During the project work, students will concentrate on tasks related to the use of AI chatbots in decision-making processes within triage and mental health contexts. Potential tasks may include: • Networking and partner identification: Locating leading researchers, professionals, practitioners, technology companies, and startups active in the field • Literature review: Systematically identifying key publications and synthesizing the current state of research • Qualitative research: Supporting the design, execution, and analysis of semi-structured interviews and focus groups Student Profile. • Bachelor or Master level • Any disciplines and departments/schools (Please verify with your school if they permit supervision by us/TUM SOT) • Proficiency in English • Skills and/or strong interest in any of the following fields: artificial intelligence, LLMs and AI chatbots, ChatGPT, AI ethics, medical ethics, healthcare (specifically, triage and mental health), moral psychology, qualitative or quantitative research. Details. Supervisor: Dr. Franziska Poszler Starting date: as soon as possible Time commitment: flexible: Full-time or part-time How to apply. If you are interested, please send your CV along with your module number and earliest possible start date to Dr. Franziska Poszler (franziska.poszler@tum.de). We are looking forward to your application!