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Diplomarbeiten, 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'.
13.02.2026
MA: Fine-Tuning an LLM Agent for Automated OpenSCENARIO Generation and CARLA Execution
Fine-Tuning an LLM Agent for Automated OpenSCENARIO Generation and CARLA Execution
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Kontakt: yuan_avs.gao@tum.de
13.02.2026
BASAMA: Learning from BEV and Dash-Camera Views: A Multimodal Large Language Model for Quantitative Risk Assessment
Learning from BEV and Dash-Camera Views: A Multimodal Large Language Model for Quantitative Risk Assessment
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Kontakt: yuan_avs.gao@tum.de
13.02.2026
BASA: Generation of New Driving Scenarios in CARLA Using OpenSCENARIO
Generation of New Driving Scenarios in CARLA Using OpenSCENARIO
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Kontakt: yuan_avs.gao@tum.de
13.02.2026
SA/MA: Diffusion-based safety-critical scenario generation
SA/MA: Diffusion-based safety-critical scenario generation
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Kontakt: yuan_avs.gao@tum.de
27.01.2026
[HiWi / Working Student / Research Internship] Real Time Signal Processing on RFNoC SDR
We are seeking a highly motivated student to contribute to the implementation and evaluation of real-time signal processing functionalities on FPGAs.
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Kontakt: peter.gu@tum.de
27.01.2026
[Master Thesis / Research Internship] Joint Communications and Sensing Using Software-Defined Radios
This thesis focuses on the use of software-defined radios (SDRs), such as the USRP X440, in combination with various RF frontends and antenna configurations to realize monostatic and multistatic sensing architectures.
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Kontakt: peter.gu@tum.de
05.01.2026
[Thesis, Internship] Deep Reinforcement Learning for Robot Control
Deep Reinforcement Learning (DRL) enables robots to learn optimal control strategies through interaction with their environment. Current research focuses on sample-efficient learning in the real world, finetuning foundation models, and sim-to-real transfer. We offer several thesis topics in these areas. Please find all information and the thesis announcement here: https://nextcloud.in.tum.de/index.php/s/2N6xY7L7pqC5rP3
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Kontakt: oliver.hausdoerfer@tum.de
05.01.2026
[Thesis, Internship] Robot Foundation Models for Robot Manipulation
Robot Foundation Models use visual, multi-modal, and language inputs to perform complex manipulation tasks. This data-driven approach to robot control has shown tremendous success. Current research focuses on reliable task fulfillment, sample-efficient learning, and novel training strategies. We offer several thesis on the topic. Please find all information and the thesis announcement here: https://nextcloud.in.tum.de/index.php/s/dpJ8wL5rPQso5NN
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Kontakt: oliver.hausdoerfer@tum.de
27.11.2025
Master’s Thesis: Simulation of Fiber-Optic Ultrasound Detection for Non-Invasive Glucose Monitoring
This thesis is about the development and enhancement of existing simulations for fiber-optic ultrasound detection in combination with mid-IR optoacoustics. The outcome of this work will be directly applied in our experimental setup with the option for you to conduct these experiments on your own.
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Kontakt: maximilian.gotsch@tum.de
26.11.2025
Masterarbeit (& Forschungspraktikum)
Masterarbeit / Forschungspraktikum (ab 01/2026) für die rekombinante Expression von Ei-Proteinen und deren funktionelle, sowie biochemische Analyse.
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Kontakt: fr.beck@tum.de
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