A fully funded PhD 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 in atmospheric science by applying tools from quantum chemistry and artificial intelligence to molecular modelling of aerosol chemistry. 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://www.helsinki.fi/en/researchgroups/vilma) and you will collaborate with experimentalists, theoreticians and computer scientists.

We welcome candidates with a master’s degree in chemistry, physics or computer science who are curious about applied machine learning in the natural sciences. We seek colleagues who enjoy coding, scripting and analytics, and who are keen to push the boundaries of computational chemistry, machine learning and artificial intelligence. This project requires creative thinking and programming.  Candidates benefit from a broad understanding of computational science and atmospheric chemistry. Prior machine learning experience is a merit but not a requirement. We further appreciate willingness to travel, collaborate and communicate science.

More information on the position and application guidelines can be found here: https://www.aalto.fi/en/open-positions/doctoral-researcher-phd-student-in-machine-learning-and-molecular-modelling-of-aerosol-chemistry The application deadline is 12.5.2023.