Postdoc in Autonomous Materials Discovery - DTU Energy

Technical University of Denmark

Develop and apply machine learning interatomic potentials for materials chemistry; perform atomistic simulations and molecular dynamics; integrate computational predictions with autonomous experimental workflows; contribute to development of data-driven optimisation and analysis pipelines; participate in collaborative research within CAPeX and associated international collaborations; disseminate results through scientific publications and conference presentations.