Your Job:
Digital methods for inverse materials design are essential to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so-called lean alloys, and material systems with a high tolerance to impurities from the use of secondary raw materials are of particular relevance for improving recyclability and sustainability. Al-Ca is a promising lean alloy system for additive manufacturing, as the mechanical properties can be tailored through phase composition, distribution and morphology by tuning process parameters. The work is carried out within the DFG Priority Programme “DaMic - Data-driven Alloy and Microstructure Design of Sustainable Structural Metals” (SPP 2489), in close collaboration with a research partner responsible for the manufacturing and characterization of material samples.
As such, the position offers the opportunity to be involved in fruitful national collaborations. In this exciting job you can expect:
1. to develop automated workflows for descriptor based microstructure reconstruction
2. to identify material parameters for crystal plasticity simulations from experimental data through inverse analysis
3. to establish structure–property linkages based on numerical simulations and to transform them into AI- and ML-ready information
4. to develop and implement an indirect inverse optimization framework to identify microstructures that exhibit desired macroscopic properties
5. to publish and present research results in relevant journals and at international conferences
Your Profile:
6. A completed university degree (Master or equivalent) with excellent grades in the field of mechanical engineering, material science, physics, computational science or similar, preferably with a specialization in the field of theory and/or simulation
7. Strong understanding of the (computational) mechanics of solids and the finite element method and/or spectral solvers
8. Practical experience in at least one programming language (preferably Python) and experience with the use of Unix/Linux operating systems
9. Structured and analytical thinking as well as a systematic, careful, independent, and reliable working method
10. Interest in working closely with experimentalists
11. Strong cooperation and communication skills and the ability to work as part of a team
12. Excellent written and spoken English skills
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:
13. A creative work environment at a leading research facility, located on an attractive research campus at the TZA Aachen and the Forschungszentrum Jülich
14. The opportunity to gain your reputation in a dynamic and highly active research field
15. 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:
16. The opportunity to attend national and international conferences
17. 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
18. Targeted services for international employees, through our International Advisory Service
19. Part-time position with 19,5 hours per week and flexible working hours
In addition to exciting tasks and the collaborative working atmosphere at Jülich, we have a lot more to offer:
We offer you an exciting and varied role in an international and interdisciplinary working environment. The position is for a fixed term of 3 years. Pay in line with 80% of pay group 13 of the Collective Agreement for the Public Service (TVöD-Bund).