🎯 Noch 2 Plätze für weibliche Teilnehmer und 13 Plätze für männliche Teilnehmer in unserer Hör-Studie verfügbar! 🎯 Für unsere wissenschaftliche Studie an der Technische Universität München (TUM) suchen wir noch Teilnehmer im Alter von 18 bis 30 Jahren mit gesundem Gehör. Checkt den angehängten Studienflyer aus.

This thesis will focus on developing methods to protect privacy while using Large Language Models (LLMs) in automotive requirements processing. As LLMs process sensitive data, such as customer information and design specifications, ensuring that this data remains private is crucial. The research will explore anonymization techniques like data masking and pseudonymization, which hide sensitive details while keeping the data useful for LLM tasks. It will also focus on ensuring that anonymized data retains its meaning and effectiveness in the context of automotive requirements processing. For application please send me an email with title "Master Thesis Application: Data Anonymization LLM ". Please also attach your resume and transcript of records in the email. A motivation letter is NOT required.

Large language models (LLMs) have transformed how we interact with technology, allowing users to communicate with systems using natural language. Ubuntu, a popular open-source operating system, provides a powerful environment for exploring the use of LLMs as intelligent agents. This master topic focuses on using LLMs as agents that can directly control and manage Ubuntu. The goal is to develop an LLM-based agent that can perform tasks such as configuring system settings, installing software, troubleshooting issues, and managing resources—entirely through natural language commands. This research will explore how LLMs can streamline system management, making Ubuntu more intuitive and user-friendly, while also enabling greater automation and efficiency for users at all levels. For application please send me an email with title "Master Thesis Application: An LLM-based Ubuntu User". Please also attach your resume and transcript of records in the email. An motivation letter is NOT required.

Using the Laplace approximation in Bayesian deep learning for uncertainty estimation in the Airbus vision-based landing system. For details, see the attached file.

This Master’s thesis explores circular economy strategies for biogenic waste in Bavaria using Life Cycle Assessment (LCA). The research builds on an ongoing project, analyzing biomass flows and innovative utilization pathways like pyrolysis and gasification. The student will conduct a literature search, perform an LCA, and compare current vs. future waste management strategies. Applicants should have a background in sustainability, familiarity with LCA/MFA, and an interest in bioeconomy.

The Chair of Business Ethics and the Institute for Ethics in AI are currently looking for motivated students to work on the topic of "Research-based Theater & AI Ethics". This opportunity is directed at TUM students (B.Sc. and M.Sc.) who can elect project studies/work or IDPs as part of their study curriculum. More details can be found here: https://www.ieai.sot.tum.de/wp-content/uploads/2024/06/20240621_Call-for-applicants_project-study_IDP.pdf