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source

Technical University of Munich

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PhD Position in Generative AI for Automotive Software Engineering Technical University of Munich in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD position (TV-L E13) at the Technical University of Munich. Full-time position with payment according to TV-L E13; access to modern computing and GPU infrastructure.

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Country

Germany

University

Technical University of Munich

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Keywords

Computer Science
Electrical Engineering
Information Technology
Software Engineering
Robotics
Large Language Models

About this position

PhD position in Generative AI for Automotive Software Engineering at the Technical University of Munich (TUM), Germany.

This fully funded doctoral opening focuses on LLMs, VLMs, Retrieval-Augmented Generation (RAG), agentic AI, software-defined vehicles, and AI-supported software engineering. The project is carried out in collaboration with academic and industrial partners and covers the full automotive software lifecycle, including requirements, architecture, code generation, testing, deployment, maintenance, verification, security analysis, and monitoring.

Research topics include: LLM- and VLM-based methods for automotive software engineering; human-in-the-loop agentic AI systems; RAG pipelines using automotive standards, technical documentation, software models, and source-code repositories; AI-supported code generation and transformation; DevOps and DevSecOps automation; automated test-case generation; vulnerability analysis; debugging; and integration of locally deployable models in privacy-sensitive industrial environments.

Eligibility highlights: a completed master's degree in Computer Science, Artificial Intelligence, Software Engineering, Robotics, or a related field; strong programming skills, preferably in Python; knowledge of machine learning, LLMs, VLMs, or generative AI; and an interest in automotive software engineering and future mobility technologies. Excellent English, strong analytical skills, independence, and the ability to work in an interdisciplinary international team are expected. Experience with RAG, AI agents, model-driven engineering, DevOps, DevSecOps, or automated testing is advantageous.

Funding: fully funded PhD position with payment according to TV-L E13, full-time, with access to modern computing and GPU infrastructure.

How to apply: send a single PDF containing your CV, relevant certificates and transcripts, and a brief statement of your experience, research interests, and motivation for pursuing a doctorate. Applications are reviewed on a rolling basis until the position is filled.

Contact: [email protected], [email protected], [email protected]

Funding details

Fully funded PhD position (TV-L E13) at the Technical University of Munich. Full-time position with payment according to TV-L E13; access to modern computing and GPU infrastructure.

What's required

Completed master's degree in Computer Science, Artificial Intelligence, Software Engineering, Robotics, or a related field; strong software development experience and excellent programming skills, preferably in Python; knowledge of machine learning, Large Language Models (LLMs), Vision Language Models (VLMs), or generative AI; experience with Retrieval-Augmented Generation (RAG), AI agents, model-driven engineering, DevOps, DevSecOps, or automated testing is advantageous; interest in automotive software engineering, software-defined vehicles, and future mobility technologies; strong analytical and scientific skills; motivation to pursue a doctorate; ability to work independently and contribute to an interdisciplinary and international research team; excellent written and spoken English.

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