Two SNSF-Funded PhD Positions on Machine Learning for Weather/Climate Super Resolution at UNIL

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Tom Beucler

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Apr 22, 2024, 4:58:35 AMApr 22
to Climate Informatics News

Dear colleagues,

I am thrilled to announce two PhD positions in machine learning for weather/climate super-resolution at the University of Lausanne (UNIL) within the DAWN research group. For more details, visit: https://wp.unil.ch/dawn/phd-positions-details/.

This position is part of the RobustSR (Improving the Robustness of Super-Resolution Algorithms to Climate Change and Extreme Events) project, supported by the Swiss National Science Foundation, which aims to design hybrid statistical-physical methods helping machine learning frameworks generalize to climate change and extreme events. The first PhD project generates spatially-resolved Swiss climate change scenarios that ensure physical consistency and preserve long-term trends, while the second PhD project downscales medium-range forecasts over Switzerland, including small-scale features ignored by the original forecast.

The role offers a CHF 45-50k annual salary, with a renewable one-year contract for up to four years, contingent upon satisfactory yearly reviews. We are looking for someone to start in Fall 2024, with some flexibility.

To ensure full consideration, applications should be submitted by May 31, 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

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