Postdoctoral Research Associate in Computational Materials Chemistry

The Mads Clausen Institute at the University of Southern Denmark is seeking a Postdoctoral Research Associate to lead machine-learning-driven computational discovery of novel double-perovskite oxynitrides. The role involves integrating first-principles DFT calculations, high-throughput screening, and materials informatics to predict the stability and properties of these materials for sustainable energy applications. The successful candidate will collaborate closely with experimental researchers and contribute to the supervision of graduate students.