Login
Hilfe
Documentation
Abschlussarbeiten, Bachelor- und Masterarbeiten
Sie suchen gerade eine Diplomarbeit, ein Thema für eine Bachelor oder Master Thesis? Dann sind Sie hier richtig. In diesem Bereich sind Abschlussarbeiten aus allen Fakultäten zu finden.
Beachten Sie auch den entsprechenden Stichwortindex.
Wenn Sie selbst eine Diplomarbeit ausschreiben wollen, lesen Sie bitte vorher unbedingt das 'Best Practice Manual Stellenanzeigen'.
19.09.2025
BASAMA-Ethics-Aware Decision-Making with Large Language Models
Kontakt: yuan_avs.gao@tum.de
19.09.2025
BASAMA-Talk2Drive: A Conversational Preference-Aligned Driving Framework Using Multi-Modal Large Language Models
Kontakt: yuan_avs.gao@tum.de
19.09.2025
BASAMA-Learning from BEV and Dash-Camera Views: A Multimodal Large Language Model for Quantitative Risk Assessment
The primary objective of this project is to develop a Multimodal Large Language Model (MLLM) agent that learns from both BEV images and dash-camera views during training, and is able to perform quantitative, spatio-temporal risk assessment from dash-camera views alone at inference.
read more
Kontakt: yuan_avs.gao@tum.de
19.09.2025
Master Thesis / IDP / Semester Thesis: Performance Evaluation for LLM Inferences on RISC-V based Tenstorrent AI Accelerators
Kontakt: binqi.sun@tum.de
17.09.2025
Data-Driven Prediction of Surgery Times from Clinical and Operational Features
Kontakt: sidra.rashid@tum.de
10.09.2025
Master-Thesis: Soft-Tissue Tension Estimation from Tissue Point Trajectories
Kontakt: dennis.schneider@tum.de
10.09.2025
PiCO2buddies_project_description_2
Thesis or Internship opportunity: PiCO2buddies – Establishment of cultivation systems for robust microalgae strains
Kontakt: m.ibanez@tum.de
10.09.2025
Enzyme cascades_TUM_UQ
Modelling of enzymatic cascades: local and international projects available!
Kontakt: m.ibanez@tum.de
10.09.2025
PiCO2buddies project description
Bachelor of Master thesis: PiCO2buddies – Using Microalgae for wastewater reclamation from pharmaceuticals
Kontakt: m.ibanez@tum.de
08.09.2025
Master Thesis: Neural Surrogate Models for Biomechanical Forces in the Spine
Master Thesis: Neural Surrogate Models for Biomechanical Forces in the Spine
Accurately determining biomechanical forces in the spine is essential for many medical applications. Current approaches rely on complex multi-body simulations [1] that are computationally demanding.
In this thesis, you will investigate neural surrogate models trained on large synthetic datasets to predict biomechanical forces from CT images. The aim is to achieve accurate and fast predictions that can make these methods applicable in clinical workflows.
AI for simulation [2] is a rapidly emerging field and will play a major role in the future of medical technology. With state-of-the-art methods such as transformers, there are powerful tools available that can be applied to this problem. The exact direction of the thesis is flexible, and extensions such as body movement simulation or related applications can also be explored depending on your interests.
Your qualifications:
- Strong motivation to apply AI for impactful medical applications
- Background in computer science, physics, biomedical engineering, or a related field
- Solid Python programming skills, ideally with PyTorch
- Prior experience in medical imaging, biomechanics, or machine learning is a plus
We offer:
- Supervision in collaboration with experts in AI and biomechanics
- Access to advanced computational resources
- The opportunity to contribute to cutting-edge interdisciplinary research
How to apply:
Please send your CV and transcripts to j.weidner@tum.de and tanja.lerchl@tum.de
Group:
AI-IDT, Prof. Benedikt Wiestler, https://ai-idt.github.io/
[1] Lerchl, Tanja, et al. "Musculoskeletal spine modeling in large patient cohorts: how morphological individualization affects lumbar load estimation." Frontiers in Bioengineering and Biotechnology 12 (2024): 1363081.
[2] Alkin, Benedikt, et al. "Universal physics transformers: A framework for efficiently scaling neural operators." Advances in Neural Information Processing Systems 37 (2024): 25152-25194.
read more
Kontakt: j.weidner@tum.de and tanja.lerchl@tum.de
Drucken
RSS 
