Collaborative Doctoral Project (PhD Position) – Accelerated Materials Development by Combining High-Throughput and AI Approaches

**Job Description**
This collaborative doctoral project aims to accelerate the development of advanced materials by combining high-throughput experimental and AI approaches. It addresses the challenges of traditional, slow, and inefficient trial-and-error methods in materials design. The project will establish a data-driven, experimentally grounded workflow for rapid microstructure-property optimization in steels, bridging the expertise of the Institute of Advanced Simulation (IAS-9) and the Institute of Energy Materials and Devices (IMD-1) at Forschungszentrum Jülich.

**Skills & Abilities**
• In-depth practical experience in at least one programming language (preferably Python)
• Structured and analytical thinking
• Systematic, careful, independent, and reliable working method
• Strong cooperation and communication skills and the ability to work as part of a team
• Excellent written and spoken English skills

**Qualifications**
Required Degree(s) in:
• Data Science
• Material Science
• Mechanical Engineering
• Physics

**Experience**
Other:
• Strong machine learning or simulation background
• Ideally, some practical experience in material characterization methods

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