A fully funded 2-year post-doc position is available in the Computational Electronic Structure Theory (https://www.aalto.fi/en/department-of-applied-physics/computational-electronic-structure-theory-cest) group of Prof. Patrick Rinke at Aalto University in Helsinki, Finland. In this position, you will have a chance to make an impact on molecular modelling and aerosol chemistry by applying tools from artificial intelligence (AI). Our long-term objective is to understand molecular aggregation processes in the atmosphere and how they affect air quality and climate change. The project is part of the recently founded Centre of Excellence in Atmospheric Science VILMA (https://wiki.helsinki.fi/display/VILMA/) and you will collaborate with experimentalists, theoreticians and computer scientists.

We welcome candidates with a PhD in (computational) chemistry or physics or computer science who are curious about applied machine learning in the natural sciences. Prior machine learning experience is strongly encouraged. We seek colleagues who enjoy coding, scripting and analytics, and are keen to push the boundaries of machine learning and AI. This project requires creative thinking and programming, as well as technical expertise in machine learning and a broad understanding of computational science and molecular chemistry.

More information on the position and application guidelines can be found here: https://www.aalto.fi/en/open-positions/postdoctoral-researcher-in-machine-learning-for-molecular-modelling The application deadline is 6.6.2022.