Senior Researcher in Geospatial Foundation Models for the Analysis and Compression of Atmospheric Data with Focus on Clouds

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

 

Successful applicants will work closely with IBM and our international collaborators and are expected to develop innovative research approaches. The role also includes the possibility to co-advice doctoral students. Results should be presented at national and international meetings as well as published in leading subject and high-impact publications. The post-holder will have the opportunity to teach.

 

Applicants should hold a PhD/DPhil in atmospheric physics, physics, data sciences, AI, machine learning or related fields. Strong background and track record in the development of geospatial foundation models from multi-modal Earth Observations is essential as well as strong computing skills, including the knowledge of UNIX/Linux, Fortran, Python, or other high-level languages.

 

The post is full time and fixed term until 31 December 2026.

 

The closing date for applications is noon GMT on 2 February 2026

 

You will be required to upload a CV and Supporting Statement and details of two referees, as part of your online application. The Supporting Statement should include a cover letter and should also clearly describe how you meet each of the selection criteria listed in the job description. 

 

Referees are also required to submit their references to Heather Waller: aopp-admin@physics.ox.ac.uk** by the closing date.*

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