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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'.
22.04.2026
Bachelor- / Master thesis: Unlock the Secrets of Wasp Courtship
Solve a 50-year old Mystery! Why do jewel wasp females say “yes” only when males nod on their antennae with open mouthparts? Join us to uncover the hidden pheromone behind wasp courtship using cutting-edge analytical chemical detection methods and behavioral assays. No chemistry experience needed—just curiosity and precision! Flexible start, thesis/internship options.
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Kontakt: jan.buellesbach@tum.de
22.04.2026
Master thesis: Pollution and Perception - How ozone degrades social discrimination systems in ants
Ants recognize their nestmates by “smelling” the waxy hydrocarbons on each other’s bodies—but ozone pollution can chemically alter these cues and confuse entire colonies. This project dives into the chemosensory mechanisms behind this phenomenon: How do antennal sensilla detect oxidized versus intact hydrocarbons? You will combine behavioral assays and chemical analysis to unravel how environmental change reshapes insect communication.
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Kontakt: jan.buellesbach@tum.de
22.04.2026
Master’s / Bachelor’s Thesis in Food Biotechnology (m/f/d)
Topic: Investigation of Industrial Side Streams as Substrates for Mushroom Cultivation
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Kontakt: Sarah Schlingloff; sarah@newerafood.de; Prof. Dr. J. Philipp Benz; benz@hfm.tum.de
22.04.2026
Master’s / Bachelor’s Thesis in Food Biotechnology (m/f/d)
Topic: Cultivation, Investigation, and Comparison of Different Mushroom Strains
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Kontakt: Sarah Schlingloff; sarah@newerafood.de; Prof. Dr. J. Philipp Benz; benz@hfm.tum.de
17.04.2026
Master's Thesis: From Signals to Glucose. Modeling and Inversion in Mid-Infrared Optoacoustic Spectroscopy
Master's Thesis on Physical System Modelling for non-invasive Glucose Measurements
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Kontakt: alexander.prebeck@tum.de
08.04.2026
Master's Thesis: Improvement of a Paper-Based Species Identification Assay for UTIs
The objective of this master’s thesis is to improve upon an established Species Identification Assay and while integrating an AI-based Time-Series Colour Analysis for the Detection of Bacterial Species and Concentration in Urinary Tract Infections (UTIs).
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Kontakt: seoras.russell@tum.de
07.04.2026
Masters Thesis: Creating Control Fields for a Point-of-Care Infection Test
The objective of this master’s thesis is to design, implement, and validate robust control fields for a paper-based point-of-care (PoC) infection test. These control fields aim to differentiate Gram-positive and Gram-negative bacteria, assisting in species identification of bacterial urinary tract infections.
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Kontakt: seoras.russell@tum.de
06.04.2026
Master’s Thesis in Cardiac Gene Therapy and Translational Genome Editing
Our research focuses on the development and optimization of AAV-based gene therapy and genome editing platforms for cardiac applications. This integrated strategy enables mechanistic insight while supporting translational development toward clinical cardiac gene therapy. The aim of the Master's thesis project is to systematically evaluate how delivery strategy, developmental stage, and model system influence genome-editing efficiency and therapeutic potential in the heart.
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Kontakt: vijayanand.rajendran@tum.de
01.04.2026
Unified Benchmarking and Modeling for Automotive Trajectory Prediction
Trajectory prediction models aim to forecast how agents such as pedestrians or vehicles will move in the future. Many models have been proposed, but they are often evaluated under different settings. This makes it difficult to understand which approaches work best and why.
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Kontakt: Christian.Prehofer@tum.de
01.04.2026
Master Thesis: Integrating World Models with AI-based Autonomous Driving
Current AI models show strong preception and prediciton capabilities for autonomous driving, but often lack precise metric and geometric grounding, such as distances, occupancy, and physical constraints. This can lead to geometrically inconsistent or physically implausible action predictions. Recent work on world models are addressing this limitations and are focus of this thesis.
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Kontakt: Christian.Prehofer@tum.de
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