PhD Candidate – Generative AI for Industrial Design Engineering | PhD Candidate (m/f/d) – Generative AI for Industrial Design Engineering (GenAIDE) Project
Siemens AG
Job Summary
This PhD Candidate role is part of the prestigious Marie Skłodowska-Curie Doctoral Network (GenAIDE), focusing on developing collaborative AI systems for next-generation industrial engineering design. The successful candidate will research and implement a novel, visionary AI-based engineering companion utilizing Large Language Model (LLM) technology to interact with complex engineering optimization and design exploration spaces. Day-to-day tasks involve developing methods for interacting with mega-design spaces, reflecting multi-fidelity accuracy for decision-making, and integrating research results into industrial software. This position offers a unique opportunity to gain cutting-edge technical depth, leadership, and ethical training within a multi-sector international network of leading academic and industrial partners across Europe, shaping the future of human-AI design teams.
Required Skills
Education
Excellent Master of Science (MSc) degree in Computer Science, Natural Sciences or Engineering
Experience
- Strong motivation to conduct research in artificial intelligence in engineering
- Solid background in machine learning and/or evolutionary optimization
- Proven interest in generative models, XAI, optimization or CAD (preferred)
Languages
Additional
- MSCA eligibility: candidates must not have resided or carried out their main activity in Germany for more than 12 months in the 36 months before recruitment and must not yet hold a PhD
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