PhD Position in Generative AI for Automotive Software Engineering (m/f/d)

• Research and development of LLM- and VLM-based methods for automotive software engineering
• Development of agentic AI systems with Human-in-the-Loop mechanisms for software development, testing, deployment, and maintenance
• Design and implementation of Retrieval-Augmented Generation (RAG) pipelines using automotive standards, technical documentation, software models, and source-code repositories
• Development of AI-supported methods for code generation, code transformation, software updates, and platform-specific software adaptation
• Automation of automotive DevOps and DevSecOps workflows, including continuous integration, testing, verification, security analysis, deployment, and monitoring
• Development of generative AI methods for automated test-case generation, software validation, vulnerability analysis, and debugging
• Integration of locally deployable LLMs and VLMs into privacy-sensitive industrial development environments
• Evaluation of the developed approaches using automotive use cases, simulation environments, and software-defined vehicle platforms Publication of research results at leading international conferences and in scientific journals Collaboration with academic and industrial partners within a large interdisciplinary research project We Offer

• A completed master's degree in Computer Science, Artificial Intelligence, Software Engineering, Robotics, or a related field
• Strong experience in software development 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 and motivation to pursue a doctorate Ability to work independently and contribute effectively to an interdisciplinary and international research team Excellent written and spoken English Tasks

• Flexible working hours with home office options
• A friendly, international, and open working atmosphere with state-of-the-art research infrastructure
• Access to modern computing and GPU infrastructure for the development and evaluation of LLM-, VLM-, and agentic AI solutions
• Research across the entire automotive software development lifecycle, from requirements and software architecture to code generation, testing, deployment, and maintenance
• Participation in a major national research project involving leading academic and industrial partners
• The opportunity to contribute your own ideas, define research priorities, and shape the future of AI-supported automotive software engineering
• Close collaboration with automotive manufacturers, suppliers, technology companies, and research institutions
• Comprehensive scientific supervision and support for pursuing a doctorate Opportunities to publish at high-ranking international conferences and in scientific journals A full-time position with payment according to TV-L E13 Application

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