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'.
23.03.2026
Master’s Thesis: 3D Scene Reconstruction and Real-Time Vehicle Awareness using LiDAR from a mobile phone
Kontakt: tim.schreiter@tum.de
23.03.2026
Master’s Thesis: Comprehensive Facial Data and Gaze Extraction Using iPhone Front Camera and ARKit
Kontakt: tim.schreiter@tum.de
23.03.2026
IDP/Guided Research: Anatomy-Aware Deep Learning for 2D-to-3D Orthopedic Reconstruction
Accurate 3D bone models are vital for Total Knee Arthroplasty. While deep learning can reconstruct 3D CTs from 2D X-rays, boundaries often remain blurry. The aim of this project is to improve the reconstruction. By developing a 3D bone segmentation model and integrating it as a differentiable, anatomy-aware loss, we will penalize structural inaccuracies. This prevents bone blending and enforces sharp 3D boundaries, which are required for precise surgical planning.
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Kontakt: tim.mach@tum.de
22.03.2026
Master thesis in Hydrology of the Biodiversity Exploratories
Kontakt: alejandra.parreno@tum.de
22.03.2026
Masters Thesis in Soil Science
Kontakt: alejandra.parreno@tum.de
20.03.2026
Master thesis: Adjoint Methods for Nonlinear Dynamic Problems: Expanded vs. Non-Expanded Formulation
Kontakt: tahar.arjoune@tum.de
20.03.2026
Master Thesis - Surgical Scene Understanding using VLM
Kontakt: hannah.schieber@tum.de
18.03.2026
Abschlussarbeiten: Digitale Gesundheitsanwendungen (DiGAs)
Wir suchen Studierende für Abschlussarbeiten zum Thema Digitale Gesundheitsanwendungen (DiGAs).
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Kontakt: maximilian.schumergruber@tum.de
13.03.2026
Master Thesis: Efficient 6DoF Surgical Robotic Grasping Based on Contact Heatmap
Kontakt: shiyu.li@tum.de, hex-thesis.ortho@mh.tum.de
12.03.2026
Master’s Thesis (6 months) – Machine Learning for Cytology Image Analysis
Bronchoalveolar lavage cytology is widely used to assess lung diseases, infections, and cancer-related changes, but the analysis is typically performed manually by experts. We are seeking a Master’s student for a thesis project focused on machine learning and computer vision methods for bronchoalveolar lavage (BAL) cytology analysis to automate this analysis.
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Kontakt: nikita.moshkov@helmholtz-munich.de