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value: _________________________________________________________________________ Job Description and Selection Criteria Job title Postdoctoral Researcher in Geospatial Foundation Models for the Analysis and Compression of Atmospheric Data with Focus on Clouds Division Mathematical Physical and Life Sciences Department Physics Location Atmospheric Physics, Parks Road, Oxford, OX1 3PU Grade and salary Grade 7: £36,024 - £44,263 per annum Hours Full time Contract type Fixed-term for 36 months Reporting to Prof. Philip Stier Vacancy reference 168670 Additional information Closing date – midday on 15 January 2023 Research topic Geospatial Foundation Models for the Analysis and Compression of Atmospheric Data with Focus on Clouds Principal Investigator / supervisor Prof. Philip Stier Project team Climate Processes Group Project web site https://www.physics.ox.ac.uk/research/group/climate-processes Funding partner The funds supporting these positions research project are provided by the UKRI underwrite for the EU Horizon Europe project Earth Observation & Weather Data Federation with AI Embeddings (Embed2Scale). Recent publications https://www.physics.ox.ac.uk/research/group/climateprocesses/publications The role We are looking for a post-doctoral researcher to join the dynamic Climate Processes Group (http://www.physics.ox.ac.uk/research/climate-processes) within the sub-Department of Atmospheric, Oceanic and Planetary Physics (AOPP). The post is available for a fixed-term period of 36 months. 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. Successful applicants will work closely with IBM and our international collaborators and are expected to develop innovative research approaches. The role also includes the p…

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comment: 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 (philip.stier@physics.ox.ac.uk) 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 lucy.li@physics.ox.ac.uk by the closing date.
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comment: 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 (philip.stier@physics.ox.ac.uk) 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 lucy.li@physics.ox.ac.uk by the closing date.
application opening date: 2023-12-06T09:00:00+00:00
further particulars: 168670 Embed2Scale PDRA JD 2023.pdf
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