Postdoc Position in Computational Materials Chemistry at the Mads Clausen Institute

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…