The University of Geneva invites applications for an SNSF-funded PhD student position in Solar Physics and Machine Learning. The project consists of analyzing observations from the satellites IRIS, SDO, Kepler, and/or TESS with the option of applying for additional state-of-the-art observations at the largest solar telescopes worldwide (DKIST, GREGOR, SST). The goal is to identify and classify flares and their spectra, potentially find outliers and commonalities, develop new machine learning techniques for the analysis, and to interpret the results with physics models, such as radiative transfer simulations.
The PhD student will be employed at the computer science department of the University of Geneva, under the supervision of the project leader, Dr. Lucia Kleint and the head of the stochastic information processing group Prof. Dr. Slava Voloshynovskiy. The length of a PhD is typically 3-4 years. A generous budget for conferences and collaborations is available.
More details, including the eligibility and the application procedure, can be found on the following website:
https://www.unige.ch/sml/news
The selection of candidates will start after November 15, 2020 and will continue until the position is filled. The starting date is negotiable, preferably around February 1, 2021.