Description
The Fraunhofer Institute for Chemical Technology ICT is hiring a Research Associate for the Energetic Systems department to develop, validate, and apply uncertainty quantification methods, surrogate models, and physics-informed machine-learning approaches for highly dynamic propellant and explosives processes. The role combines numerical simulation, experimental data, data analysis, and interdisciplinary research, with responsibilities including independent project acquisition, method development, and publication. It offers a 39-hour weekly schedule, flexible working hours, mobile working options, and a two-year limit, with part-time filling possible.
