About this role
The role involves developing predictive models for hydrogen flames using machine learning and numerical simulations (DNS/LES) within the InsigH2T research project. The position offers the opportunity for a PhD and involves collaboration with international partners in academia and industry.
Skills for this role
Machine LearningNumerical MethodsScientific ProgrammingC++PythonLinuxHigh Performance ComputingComputational Fluid DynamicsDNSLES