This project, part of ICOS Cities PAUL, focuses on monitoring CO2 emissions in Munich's urban areas, emphasizing urban vegetation carbon flux. Tasks include installing sensors, conducting manual measurements with portable instruments, and analyzing data. Supervision is provided by universities in Basel, Karlsruhe, and Munich. The work involves long-term sensor maintenance, observational studies of vegetation, and comparative data analysis against existing CO2 flux models.

This project focuses on generating synthetic training data for dynamic neural novel view synthesis systems. A particular emphasis is placed on creating edge case test data to evaluate the limits of current methods.

Join the EngageCam project and help shape the future of AI in online learning! You'll work with cutting-edge generative AI models to create synthetic training data, and explore personalized engagement detection using techniques like federated learning and similarity-based model tuning. By combining creativity with machine learning expertise, you'll build systems that adapt to each learner’s unique behavior.

The Schuefflerlab for Computational Pathology at the TUM Institute for Pathology is offering a CIT Master’s thesis in the field of medical machine learning and pathology AI (artificial intelligence). The study explores the potential unimodal and multimodal deep learning models to predict precursors of pancreatic ductal adenocarcinoma (PDAC) from histology and/or spatial transcriptomics data. Please find the attached PDF for a detailed description.

At the lab for AI in Medicine, we offer a project on physics-based machine learning for hyperspectral neuronavigation

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.

External thesis or internship at Arnold & Richter Cine Technik GmbH & Co. Betriebs KG

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'.

External thesis or internship at Arnold & Richter Cine Technik GmbH & Co. Betriebs KG

We search for motivated students that want to be involved in projects assessing impacts of land use and climate change on insect diversity and biology.

The Human-Centered Computing and Extended Reality Lab of the Professorship for Machine Intelligence in Orthopedics seeks applicants for Bachelor/Master Thesis for the Summer Semester 2025.

This research investigates the visualization of small blood vessels for intraoperative guidance using mixed reality (MR) headsets. The goal is to provide real-time, in-situ anatomical guidance to help medical personnel quickly locate and interact with critical structures during surgery.

The Human-Centered Computing and Extended Reality Lab of the Professorship for Machine Intelligence in Orthopedics seeks applicants for Bachelor/Master Thesis for the Summer Semester 2025.

The Computational Pathology Lab of the TUM Institute for Pathology is offering a bachelor’s thesis titled “QC for digital pathology – scan duplicate classification”.

A multiphase CFD Study of three different agitators in biogas plants has to be carried out. The two phases are a liquid, non-newtonian phase and a solid particle phase with different fractions of varying equivalent diameters. The transient simulation aims to analyze the particle distribution after a certain mixing time. Due to the high computing requirements the simulation will be carried out on the LRZ Linux cluster (HPC – High performance computing)

Develop AI-driven solvers using advanced transformer architectures to accelerate brain tumor modeling for personalized radiotherapy planning.

At the Chair of Brewing and Beverage Technology, we offer a project on food packaging applications.

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.

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.

This project proposes an unsupervised AI-driven pipeline to detect and quantify pathological uptake hotspots in 3D orthopaedic SPECT/CT scans. It aims to enhance diagnostic objectivity by extracting detailed spatial and statistical features relevant to clinical decision-making.