This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
The division 'Entwicklung FAS/HAF-System' is responsible for developing advanced driver assistance systems, automated driving, and parking functionalities. The Assisted Parking Functions department develops innovative solutions that make parking safer, more efficient, and more comfortable. Join our highly qualified team and contribute your unique skills to achieving outstanding results together. In this doctoral research position, you will work at the intersection of artificial intelligence (AI), systems engineering, and requirements engineering. The focus is to develop (nearly) deterministic, domain-specific knowledge graphs for a structured representation of text-based requirements and their application in verifiable Graph-Retrieval-Augmented-Generation (GraphRAG) queries. The research is conducted within an interdisciplinary industrial environment and includes the design, implementation, and evaluation of the proposed methods using real-world datasets of requirements. The goal is to enable formalized, traceable, and certifiable analyses of requirement interdependencies, thereby contributing to the advancement of modern driver assistance systems through scientifically grounded approaches.
Job Responsibility
Designing a (nearly) deterministic knowledge graph for the structured representation of text-based requirements
Defining a domain-specific semantic model and ontology, including reasoning mechanisms for verifiable GraphRAG queries
Implementing the proposed concepts end-to-end, including delivering a scalable minimum viable product (MVP) based on approved toolchains
Evaluating and validating the approaches using real‑world requirements from selected parking functions (SAE Level 2)
Demonstrating correctness, completeness, traceability, and certifiability of the generated results in close collaboration with industrial and academic partners
Requirements
Good to very good university degree qualifying for doctoral studies in cybernetics, computer science, mathematics, physics, or a comparable field of study
Programming experience (e.g., Python, Cypher, CI/CD) and willingness to work with graph-based technologies and tools
Solid knowledge of, or strong research interest in, formal methods, artificial intelligence, graph theory, ontologies, and requirements engineering
Strong ability to abstract and model complex system relationships
English language level C1
Analytical, structured, and self-driven working style combined with strong intrinsic motivation for scientific research
Strong problem-solving skills and a drive to fully understand and implement novel approaches
What we offer
Attractive salary & 30 vacation days (+ 24.12. and 31.12. off)
35-hour week, flexible working hours, remote work
Special conditions for the purchase and leasing of vehicles
Free seminars on scientific work and interdisciplinary qualifications
Participation in the doctoral network for scientific exchange with science representatives and other doctoral candidates within the Volkswagen Group