Your Job:
The accelerated development of advanced materials is essential for addressing major challenges in energy, mobility, and sustainability. Traditional trial-and-error methods in materials design are often too slow, costly, and inefficient to cope with the increasing complexity of performance and resource-efficiency requirements. This collaborative doctoral project brings together the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy Materials and Devices – Structure and Function of Materials (IMD-1) to establish a data-driven, experimentally grounded workflow for rapid microstructure-property optimization in steels. The PhD student will play a central role in this interdisciplinary initiative. They will:
1. Develop and apply machine learning (ML) methods—including surrogate modelling, feature extraction, and inverse design algorithms
2. Generate synthetic microstructures (based on the open-source OptiMic software)
3. Perform descriptor extraction and micromechanical simulations (MCRpy, DAMASK)
4. Vary the material processing parameters, which results in materials with diverse microstructures and mechanical properties
5. Perform experimental characterizations of additive-manufactured and heat-treated steels, using state-of-the-art methods such as scanning electron microscopy (SEM), electron backscatter diffraction (EBSD), X-ray diffraction (XRD), and nanoindentation, for generating their own data sets
Your Profile:
6. A completed university degree (Master or equivalent) with excellent grades in the field of data science, material science, mechanical engineering, physics, or similar, with a strong Machine Learning or simulation background
7. In depth practical experience in at least one programming language (preferably Python)
8. Ideally, some practical experience in material characterization methods
9. Structured and analytical thinking as well as a systematic, careful, independent, and reliable working method
10. Strong cooperation and communication skills and the ability to work as part of a team
11. Excellent written and spoken English skills
Please note that only applications including a motivation letter, CV, and university degree certificates and grade transcripts can be accepted.
Our Offer:
We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We offer ideal conditions for you to complete your doctoral degree:
12. A creative work environment at a leading research facility, located on an attractive research campus at the TZA Aachen and the Forschungszentrum Jülich
13. The opportunity to gain your reputation in a dynamic and highly active research field
14. Further development of your personal strengths, through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors:
15. Flexible working hours and various opportunities to reconcile work and private life-life, such as the option of slightly reduced working hours and 30 days of annual leave
16. Targeted services for international employees, through our International Advisory Service
17. Opportunity to participate in (international) conferences and project meetings
18. Continuous professional support from your scientific supervisors
In addition to exciting tasks and a collaborative working atmosphere at Jülich, we have a lot more to offer:
We offer a 4-year PhD position. Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD). Depending on your qualifications and the precise nature of the tasks, salary grade 13 TVöD-Bund (up to 100%) and additionally 60 % of a monthly salary as special payment („Christmas bonus“). The monthly salaries in euro can be found on the BMI website: