Research & Development
Postdoc Position in Computational Materials Chemistry at the Mads Clausen Institute
Summary
Conduct computational research to discover double-perovskite oxynitrides using DFT, high-throughput screening, materials informatics and machine learning. The role also involves collaboration with experimental researchers, student supervision and scientific communication.
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Opportunity summary
Employment type: Full time. Requisition: 4342. We are seeking an enthusiastic new colleague as a Postdoctoral Research Associate in Computational Materials Chemistry, with a strong background in first-principles (DFT) calculations, computational materials science, and machine-learning-driven materials discovery.
The successful candidate is expected to have experience in areas such as high-throughput DFT calculations, thermodynamic and phase stability analysis, crystal structure prediction, materials informatics, and machine learning, preferably applied to inorganic functional materials. Knowledge of solid-state chemistry, perovskite-related materials, and materials databases would be highly advantageous.
You are invited to join the Mads Clausen Institute (MCI) at the University of Southern Denmark (SDU) in Sønderborg, Denmark. The position is for two years, with an expected starting date of 01.03.2027. MCI is a part of the University of Southern Denmark (SDU) and covers research and education, including applications of engineering sciences.
Our working language is English, reflecting the fact that far more than half of our students and staff have international roots1 …
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