PhD Position - Computational Physicist (Perovskite Materials for Photovoltaics) | Physiker (m/w/d)
Forschungszentrum Jülich GmbH
Job Summary
This four-year doctoral project invites a motivated individual to develop and deploy an AI-driven approach for the inverse design of novel lead-free perovskite materials for photovoltaic applications. The successful candidate will integrate high-performance computational studies with experimental high-throughput platforms, create a data management system for inter-institute collaboration, and devise an invertible predictive modeling approach linking semiconductor properties to perovskite composition. This role offers a unique opportunity to work at the intersection of AI, materials science, and energy technology within one of Europe's largest research centers, benefiting from state-of-the-art infrastructure and interdisciplinary supervision.
Required Skills
Education
Master’s degree in theoretical or computational physics, chemistry, materials science, or a similar field
Experience
- Familiarity with atomistic simulations, high-performance computing, and AI-based methods
- Basic knowledge in photovoltaics and solid-state materials for energy application
- Ability to work individually and in a team, to effectively collaborate, and to communicate in a diverse scientific environment
Languages
Additional
- Not specified
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