University of Geneva
3 months ago
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PhD in Statistics, Climate Science, and AI Weather Forecasting at University of Geneva University of Geneva in Switzerland
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Expired
Country
Switzerland
University
University of Geneva

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About this position
University of Geneva (GSEM / Research Institute for Statistics and Information Science) is advertising a PhD / doctoral assistant position in Statistics focused on the intersection of statistics, extreme value theory, machine learning / AI, climate science, and weather forecasting.
The successful candidate will join Professor Sebastian Engelke’s research group and work on the statistical analysis of advanced AI weather models such as GraphCast, AIFS, and GenCast, with applications to climate extremes and extreme events. The role combines doctoral research with teaching support for bachelor’s and master’s courses, including tutorials, exam preparation and grading, and supervision of master’s theses.
Eligibility highlights: a Master’s degree in statistics, probability theory, climate science, or a related field; strong interest in extreme value theory, machine learning, climate science, or weather forecasting; excellent Python skills; and strong English communication skills. The selected candidate is expected to enrol in the GSEM PhD in Statistics.
Funding and contract: this is a funded doctoral assistant position at 80% employment. The contract is for 2 years, renewable, with a maximum duration of 5 years. The post includes both research and teaching responsibilities. No specific stipend amount is stated in the post.
Deadline: 31 May 2026 (midnight, Geneva time). Start date: 1 September 2026, or by agreement.
How to apply: submit a motivation letter, detailed CV with two referees, Bachelor/Master transcripts, and theses if available. Applications must be submitted only through the official University of Geneva portal; email applications will not be considered.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
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