• Design and train machine learning models to predict materials properties
• Develop and utilize automated computational workflows
• Analyze and interpret simulation data
• Collaborate with interdisciplinary teams, including experimental partners
• Present findings at scientific conferences and workshops
• Supervise and mentor junior members of the group

• Completed university studies (PhD) in the field of Computer Science, Physics, Chemistry, or a related field
• Experience with Density Functional Theory, molecular dynamics, or Monte Carlo simulations
• Proficiency in machine learning techniques and data analysis
• Proficiency in Python and scientific computing libraries
• Experience with Linux, Git, and collaborative software development tools
• Knowledge of web design or experience creating scientific websites is a plus
• Ability to work independently and collaboratively in an interdisciplinary environment
• Excellent communication skills in English in a professional context

• A vibrant research community in an open, diverse and international work environment
• Scientific excellence and extensive professional networking opportunities
• Salary and social benefits in accordance with the collective agreement for the public sector (TVöD-Bund) including 30 days of paid holiday leave, company pension scheme (VBL)
• We support a good work-life balance with the possibility of part-time employment, mobile working and flexible working hours
• Numerous company health management offerings
• Employee discounts with well-known providers via the platform Corporate Benefits
• An employer subsidy for the "Deutschland-Ticket Jobticket"

We look forward to receiving your application documents (including cover letter, CV, diplomas/transcripts, etc.), which you can submit via our online-application-system: https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=75298