Postdoctoral Research Assistant in Geospatial Foundation Models for the Analysis and Compression of Atmospheric Data

Applications are invited for a Postdoctoral Researcher in Geospatial Foundation Models for the Analysis and Compression of Atmospheric Data with Focus on Clouds

The post is available for a fixed-term duration of 36 months.

This position, part of EU Horizon Europe project Earth Observation & Weather Data Federation with AI Embeddings (Embed2Scale), with IBM and partners across Europe, will be at the forefront of tackling our understanding and compressed representations of clouds in the climate system through the development and utilisation of geospatial foundation models.

The successful candidate will work closely with IBM and our international collaborators and be expected to develop innovative approaches. The results should be presented at national and international meetings as well as published in leading subject and high-impact publications.

Applicants should possess, or be close to obtaining of a PhD / Doctorate in in atmospheric physics, physics, data sciences, AI, machine learning or related fields.

The ability and drive to work collaboratively, yet independently, as part of a team is essential.

Candidates are expected to demonstrate an excellent understanding of atmospheric physics / physics or data sciences (AI, ML), with a strong interest to expand into the complementary subject area, and a demonstrated drive and ability to perform novel research of international standing.

The postholder will have the opportunity to teach.

Please direct enquiries about the role to Prof. Philip Stier ([email protected])

Only applications received before midday 15 January 2024 can be considered. You will be required to upload a supporting statement, CV and details of two referees as part of your online application.

Referees are also required to submit their references to [email protected] by the closing date.