A fully funded 2-year post-doc position is available in the Computational Electronic Structure Theory group of Prof. Patrick Rinke at Aalto University in Helsinki, Finland. In this position, you will develop and implement advanced electronic structure methods for pre-exascale high-performance computing architectures and apply them to pertinent materials science problems such as clean energy generation. More specifically, you will research scaling reductions, massive parallelization and GPU acceleration for the GW Green’s function method. The development proceeds in collaboration with the Novel Materials Discovery (NOMAD) team. 

We welcome candidates with a PhD in computational physics, chemistry or materials science who are curious about advanced electronic structure theory, who enjoy coding and are knowledgeable in writing scientific software. Prior experience with parallel programming, GPU acceleration or high-performance computing environments is advantageous. This project requires algorithmic development and implementation in an electronic structure theory code.

More information on the position and application guidelines can be found here. The application deadline is 31.12.2020.