AVL List GmbH offers a job in Austria (AT) as

Junior Research Engineer in Computational Engineering f/m/d - GREET Project

Phd Fellowship

The Doctoral Candidate will be employed for 36 months as part of the "Generative Explainee-aware Explainability and Transparency in Proactive Cyber-Physical Eco-Environments (GREET)" project, funded by Horizon Europe under the Marie Skłodowska-Curie Actions (MSCA) Doctoral Networks, Grant No. 101226624. The Doctoral Candidate will be enrolled in the PhD program at Vienna University of Technology (TU Wien), Faculty of Informatics, with the 36-month appointment based at AVL in Graz, Austria, under conditions aligned with MSCA regulations for Doctoral Candidates.

GREET (Generative Explainee-aware Explainability and Transparency in Proactive Cyber-Physical Eco-Environments) is a European doctoral network comprising 13 academic and industrial partners across nine countries. The network brings together expertise in AI explainability, transparency, cyber-physical systems, and advanced software engineering. Doctoral Candidates benefit from a coordinated training program combining research, industry exposure, and transferable skills development while working on advanced AI technologies in an international, collaborative environment.

As a Doctoral Candidate at AVL, you will conduct research in Computational Engineering, focusing on the autonomous generation and optimization of engineering designs through generative AI and computational search techniques. Your work will develop methods for exploring vast design spaces, evaluating engineering feasibility, and synthesizing solutions to complex automotive design and system optimization problems.

YOUR RESPONSIBILITIES:

• Development of generative AI models for autonomous design space exploration in automotive engineering
• Computational methods for evaluating and optimizing engineering designs against multiple constraints and objectives
• Integration of symbolic and learning-based approaches for rule-based engineering formulation and synthesis
• Application of generative techniques to physical design problems (components, structures, systems in powertrain and vehicle development)
• Collaboration with academic partners on explainability and transparency in generative AI systems

YOUR PROFILE:

• Completed education (University or University of Applied Sciences, University of Technology, or comparable) with a focus on Computer Science, Software Engineering, or a closely related discipline, with completion by August 2026 at the latest and eligibility for admission to a doctoral program are required
• Strong foundational knowledge in Large Language Models, AI agents, machine learning, software architecture, or cyber-physical systems
• Experience in LLM/RAG software development with Python and SQL; Rust or comparable systems-level programming skills are an advantage
• Ability to work independently and collaborate effectively in interdisciplinary teams
• Very good knowledge in English

WE OFFER:

• Various working time models, flextime and the possibility of working from home
• Contributing to a safer and more sustainable future of mobility
• Food trucks, snack bar and canteen with freshly cooked daily menus
• Events, e.g. summer festival, Oktoberfest, AVL Christmas parties or after-work events
• Personalized onboarding process including a mentoring system

Annual Remuneration: Due to the Austrian Equal Treatment Act we are obligated to state the annual gross remuneration (full-time) for this position as a basis for negotiation: €53,270.00. The Employee will be classified according to the Collective Agreement for Employees of Industry (Collective Bargaining Agreement of the Automotive Industry). We will, in any case, offer market-conforming payment taking qualifications and professional experience into account.

Interested?
If so, please use our online application tool to send your application to AVL!

At AVL, we foster and celebrate diversity: We recognize that diverse ways of thinking are required to achieve our vision of a greener, safer, and better world of mobility. Different backgrounds, attitudes, interests, and experiences make us successful. As Equal Opportunity Employer we consider all qualified applicants without regard to ethnicity, religion, gender, sexual orientation or disability status.