Collaborative Doctoral Project (PhD Position): The Forschungszentrum Jülich is offering a PhD position focused on accelerated materials development through high-throughput and AI approaches, aiming to address critical challenges in energy, mobility, and sustainability.
Collaborative Doctoral Project (PhD Position) – Accelerated Materials Development
Designation
PhD Candidate in Accelerated Materials Development
| Field | Details |
|---|---|
| Research Area | Materials Science, Data Science, Mechanical Engineering |
| Location | Forschungszentrum Jülich, Germany |
| Eligibility/Qualification | Master’s degree (or equivalent) in relevant fields with a strong Machine Learning background |
| Last Date to Apply | Open until filled |
Research Area
The project focuses on the accelerated development of advanced materials by integrating machine learning with experimental characterization methods, specifically aimed at optimizing microstructure-property relationships in steels.
Eligibility/Qualification
- A completed university degree (Master or equivalent) in data science, material science, mechanical engineering, physics, or similar fields.
- Strong background in Machine Learning or simulation.
- Practical experience in at least one programming language (preferably Python).
- Experience in material characterization methods is advantageous.
- Strong analytical and structured thinking skills.
- Excellent communication skills and team collaboration ability.
- Proficient in written and spoken English.
Description
The PhD candidate will engage in an interdisciplinary project combining the expertise from the Institute of Advanced Simulation (IAS-9) and the Institute of Energy Materials and Devices (IMD-1). Responsibilities include:
- Developing and applying machine learning methods for material optimization.
- Generating synthetic microstructures using OptiMic software.
- Conducting micromechanical simulations and experimental characterizations.
- Utilizing advanced characterization techniques such as SEM, EBSD, XRD, and nanoindentation.
How to Apply
Interested candidates should submit a complete application including:
- A motivation letter.
- A detailed CV.
- University degree certificates and grade transcripts.
Applications must be submitted through the designated application portal (email applications are not accepted).
Last Date to Apply
Applications are accepted until the position is filled. Early submission is encouraged.
For further details regarding the application process and FAQs, visit the Forschungszentrum Jülich careers page.
