Postdoc: Materials Modeling: Join the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) as a Postdoc in the Department of Machine Learning for Materials Design. Contribute to cutting-edge research in materials science through the development of scalable machine learning models.
Postdoc (F/M/D): Machine Learning for Materials Modeling
Designation:
Postdoc (F/M/D)
Research Area:
Machine Learning for Materials Modeling
Location:
Görlitz, Germany
Eligibility/Qualification:
- Completed PhD in Physics, Computer Science, Materials Science, Chemistry, or a related field.
- Proficiency in programming languages (Python, C/C++, Julia).
- Background in machine learning methods and experience in developing, training, and tuning machine learning models.
- Familiarity with collaborative software development and version control systems (Git).
- Experience with electronic structure and molecular dynamics simulation codes (VASP, QuantumEspresso, CP2K, LAMMPS).
- Motivated to work in a team-oriented environment with excellent communication skills.
Job Description:
In this position, you will:
- Generate datasets using first-principles simulation software (density functional theory and related codes).
- Utilize automated workflows on high-performance computing systems for efficient data generation.
- Develop transferable machine learning models tailored to materials science applications.
- Collaborate with peers within and beyond the research group on related research topics.
- Mentor junior group members and engage in international collaboration.
- Present scientific findings at academic venues and publish research in peer-reviewed journals.
How to Apply:
Interested candidates are invited to submit their application documents, including a cover letter, CV, and diplomas/transcripts, via the online application system.
Last Date to Apply:
May 31, 2025
For any inquiries, please contact:
Dr. Attila Cangi
Tel.: +49 3581 37523 52
Email: jobs@hzdr.de
