29.04.2025

CAD Sketch of Parallel Elastic Actuator

[Forschungspraxis/Master Thesis] System prototyping & Control Characterization of Novel Elastic Actuator

We are building and controlling custom actuators. This particular task includes the manufacturing of a simple test-actuator that integrates a backdrivable motor with a spring and a torque sensor connected in parallel.  Further, a performance characterization of the motor will be conducted (Bode plot analysis, etc.). Additionally, an impedance controller will be evaluated on such a setup.

Kontakt: vasilije.rakcevic@tum.de

29.04.2025

Master Thesis Projects in AI Agents

Are you captivated by the world of AI agents and their transformative potential? Imagine leveraging the immense computational power of Nvidia A100 GPUs, each with 80GB of memory, to build and refine intelligent agents that operate at scale.
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Kontakt: cognitive.yunpu@gmail.com, yunpu.ma@ifi.lmu.de

26.04.2025

Forschungsprojekt in insect ecology

If you are looking for a project in ecology that gives you credits and the possibility of a follow-up thesis, this course is for you!
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Kontakt: Alejandra.parreno@tum.de

25.04.2025

Thesis - Software Engineering for Educational Purpose - Embedded Device

We offer a thesis on "Software Engineering for Educational Purposes – Embedded Device." Focus: enhancing an educational internet radio (embedded system, audio streaming, real-time processing). Required: C skills, embedded experience. Extras: MP3, HTTP/S. Benefits: expert guidance, modern tools, hands-on, publication support. Apply with CV, cover letter, and start date.
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Kontakt: nils.purschke@tum.de

15.04.2025

Master's thesis (Guided research project): Data-Driven Inverse Modeling for Brain Tumor Analysis

At the lab for AI in Medicine, we offer a project on data-driven inverse modeling for brain tumor analysis.

Kontakt: ivan.ezhov@tum.de

10.04.2025

Master's thesis: Multi-modal AI Models for Cochlear Implant Insertion Depth Estimation

Cochlear implants (CIs) are highly effective neuroprosthetic devices for individuals with hearing loss. Accurate knowledge of CI electrode positioning can enhance patient outcomes. In this project, you will implement and test advanced multi-modal deep learning models in an existing dataset to estimate cochlear implant electrode insertion depths based on CT scans and impedance recordings from the cochlear implant.
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Kontakt: wilhelm.wimmer@tum.de

10.04.2025

Master thesis – Infection Pathogenesis: Genome editing in parasitic helminths

Develop gene editing system (constructs of CRISPR-Cas, base editor or prime editing etc.) to manipulate large roundworm eggs.
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Kontakt: wei.liang@tum.de

10.04.2025

Master’s Thesis: Open-Source Image Processing Tool for Cochlear Implantation Research

Cochlear implants (CIs) are neuroprosthetic devices for individuals with hearing loss. In this project, you will develop and test an open-source image processing tool designed to analyze and annotate the cochlea using a diverse dataset of pre- and postoperative CT scans from multiple clinical centers.
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Kontakt: wilhelm.wimmer@tum.de

28.03.2025

Hybrid Reinforcement Learning with Baseline Controllers

This project, conducted in collaboration with Siemens AG, explores hybrid reinforcement learning methods and development of physics-based simulations to improve the reliability and efficiency of industrial automation systems.
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Kontakt: olivia.garland@tum.de

18.03.2025

Abschlussarbeiten, Bachelor- und Masterarbeiten

Our Research Group on Pancreatic Neuropathy and Pain is actively seeking passionate Master’s and Bachelor’s students, as well as interns, specializing in biological and chemical sciences. Our work blends molecular biology with comprehensive analysis of human pancreatic tissue, advanced 3D culture models, live cell imaging, genetically engineered mouse models (GEMMs) of pancreatic cancer, and murine models of acute and chronic pancreatitis. We operate with the Collaborative Research Center 1321 (Modelling and Targeting of Pancreatic Cancer), the DKTK (German Cancer Consortium) Munich site, the CCC München (Cancer Comprehensive Center-TZM München), and the Pancreatic Cancer Alliance Munich (PCAM). Crucially, our research is driven by insides gleaned directly from human tissue and diseases, aiming to develop in vitro and in vivo models that faithfully replicate human conditions. Comprising an international team of biologists and clinicians, our mission is to unravel key disease mechanisms in pancreatic disorders, with the ultimate aim of devising innovative therapeutic strategies. Here are our current projects: 1. Exploring the role of the exosomes in cancer cell progression and metastasis. 2. Investigating the involvement of mast cells in pain perception during acute and chronic pancreatitis 3. Examining the immunological effects of chemotherapy in pancreatic cancer. 4. Establishing of multi-cellular 3D ex-vivo systems, including organoids ad ECM scaffolds. 5. Cloning of Gene-Therapy Tools for treatment of PDAC. Our methodologies encompass a wide range of molecular biology techniques such as nucleic acid isolation, PCR, protein isolation, real-time PCR, Western blotting, cloning, bacterial transformation and plasmid isolation. We also employ cell sorting using FACS, gene editing with CRISPR Cas9, multiplex immunohistochemistry, cell culture techniques, and ECM scaffold preparation. In addition to gaining practical experience with state-of-the-art research techniques, successful candidates will have the chance to contribute to groundbreaking projects at the forefront of cancer biology and translational medicine. Join our dynamic team and help pioneer discoveries aimed at enhancing patient outcomes in pancreatic diseases. For any inquiries, please don’t hesitate to contact Dr. Rouzanna Istvánffy via e-mail at rouzanna.istvanffy@tum.de.

Wenn Sie selbst eine Diplomarbeit ausschreiben wollen, lesen Sie bitte vorher unbedingt das 'Best Practice Manual Stellenanzeigen'.

Kontakt: rouzanna.istvanffy@tum.de