PhD Position in Sustainable Structural Metals: The Institute for Advanced Simulations (IAS-9) at Forschungszentrum Jülich offers a PhD position focused on the inverse design of microstructures for sustainable structural metals, particularly emphasizing the development of lean alloys and their optimization for additive manufacturing. This position provides a multidisciplinary research environment in collaboration with leading research partners.
PhD Position in Inverse Design of Microstructures for Novel Sustainable Structural Metals
Designation
PhD Candidate in Inverse Design of Microstructures for Sustainable Structural Metals
| Field | Details |
|---|---|
| Research Area | Sustainable Structural Metals, Microstructure Design |
| Location | Aachen/Jülich, Germany |
| Eligibility/Qualification | Completed Master’s degree in Mechanical Engineering, Material Science, Physics, or Computational Science with excellent grades. Specialization in theory/simulation preferred. |
| Description | The role entails developing automated workflows for microstructure reconstruction, inverse analysis for crystal plasticity simulations, and establishing structure-property linkages. Candidates will collaborate closely with experimentalists and contribute to academic publications and conference presentations. |
| How to Apply | Applications must include a motivation letter, CV, university degree certificates, and grade transcripts. Apply through the official Forschungszentrum Jülich website, not via email. |
| Last Date to Apply | Apply as soon as possible; the position will be advertised until filled. |
Research Area
The PhD position focuses on digital methods for inverse materials design, aimed at developing new sustainable and recycling-adapted structural metals. Key areas include lean alloy systems like Al-Ca for additive manufacturing, characterizing material parameters, and enhancing recyclability.
Eligibility/Qualification
- Completed university degree (Master or equivalent) in Mechanical Engineering, Material Science, Physics, Computational Science, or a related field.
- Strong understanding of solid mechanics, finite element methods, and/or spectral solvers.
- Proficiency in at least one programming language (preferably Python) and familiarity with Unix/Linux operating systems.
- Structured, analytical thinking; ability to work independently and collaboratively.
- Excellent communication skills and proficiency in English.
Description
As a PhD candidate, you will engage in cutting-edge research addressing the development of complex materials with tailored properties. Your duties will include:
- Developing automated workflows for microstructure analysis.
- Conducting crystal plasticity simulations using experimental data.
- Translating numerical simulation results into AI- and ML-ready frameworks.
- Participating in collaborative research efforts and sharing findings at conferences.
How to Apply
Interested candidates are encouraged to apply promptly through the Forschungszentrum Jülich website as applications will be accepted until the position is filled. Ensure your application includes:
- Motivation letter
- Curriculum Vitae (CV)
- University degree certificates and grade transcripts
Last Date to Apply
The position is open until successfully filled. Early application is recommended.
