Phd position on the statistical comparison between planet population synthesis and observations at the universities of Bern and Geneva.
The PhD student is expected to make the link between the theoretical efforts of planet population modeling developed in Bern and the actual observed properties of planets detected in the various surveys conducted in Geneva. Novel tools like machine learning and deep learning are foreseen for this project.
Requirements: Master in astrophysics / physics / mathematics. The successful applicant should have very good physical, computer and mathematical skills. Experience in machine learning and/or deep learning is a plus.
Start: The starting date of the position is negotiable, and could be as early as October 2018.
Duration and salary: The position is funded for 4 years (50% in Bern and 50% in Geneva). The student is expected to share his/her time between the 2 institutions.
A Swiss salary for a PhD candidate is of the order of 50,000 CHF a year.
How to apply: Interested applicants should contact Yann Alibert and Stephane Udry (alibert@space.unibe.ch,stephane.udry@unige.ch), and send within a single pdf file their curriculum (including professional experience), a one page motivation letter, the contact details of up to three reference persons, and the notes obtained at the Master level. Complete applications received by August 1st, 2018, will receive full considerations. Past this date, applications will be considered depending on availability.
The universities of Bern and Geneva are equal opportunity employers, and we specially encourage the application of female researchers.
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