Postdoctoral Research Associate in Computational Materials Chemistry

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