Postdoctoral Researcher in Astroinformatics

We are seeking a postdoctoral researcher to work in the recently established astroinformatics research group, currently supported through two ERC grants (UniSDyn ERC CoG and SYCOS ERC PoC). We are looking for excellent candidates, preferentially having a Ph.D. degree in computer science, and a specialization in data science and machine learning. Excellent candidates with a PhD degree in astronomy/astrophysics, with a significant further education and expertise in machine learning and data science, will be considered equally. Knowledge and experience in HPC are a strong bonus, but not strict requirements. Good communication and teamwork skills are highly valued. 

We have recently developed a proof-of-concept data analysis pipeline, that has already shown to deliver unprecedented new discoveries about the sub-surface magnetism of the Sun. The goal of this postdoctoral project is to extend this pipeline to a prediction tool that can detect active regions even a few days ahead of their emergence. Our objective is to build is a real-time forecasting tool, based on observational data and numerical simulation outcomes, that is enabling early alerts of potentially hazardous space weather events originating from the Sun. 

We offer a postdoctoral fellowship for two years, starting on the 1st of February, 2023, with a possible extension of up to three more years. During the first two years the candidate is expected to work for the UniSDyn and SYCOS projects’ objectives, and during the possible extension, building ecosystems for demanding data analysis tasks in HPC environments. Application documents include CV, publication list, degree certificates, and contact details of two recommenders. See full job add at Aalto webpages for more information.