[ES_JOBS_NET] Postdoctoral Opportunity in Machine Learning for Atmospheric Modeling at UNIL

[Tom Beucler]

Dear colleagues,

I am excited to share a postdoctoral position in machine learning for atmospheric modeling at the University of Lausanne (UNIL) within the DAWN research group<https://wp.unil.ch/dawn/>. For more details, visit: https://wp.unil.ch/dawn/postdoc-position-details/.

This position is part of the AI4PEX (Artificial Intelligence for Enhanced Representation of Processes and Extremes in Earth System Models) project, supported by Horizon Europe, which aims to enhance climate projections by improving atmospheric process and extremes representation. The selected candidate will develop ML-based parameterizations for cloud feedbacks and atmosphere-ocean heat exchanges. They will also have the chance to lead a second project in the broad field of atmospheric science and machine learning to foster independent research skills.

The role offers a CHF 80k annual salary, with a renewable one-year contract for up to four years, contingent on satisfactory annual reviews. We are looking for someone to start between July and August 2024, with some flexibility.

To ensure full consideration, applications should be submitted by April 5, 2024. Applications submitted after this date will be reviewed on a rolling basis. Please feel free to forward this information to any colleagues who may be interested in this opportunity.

All the best,

Tom Beucler (he/him)
Assistant Professor
University of Lausanne
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