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University of Leeds
Research Fellow in Machine Learning for Agroclimatic Adaptation
Leeds On-site 2-5 yrs exp£41k – £49k / year
Machine LearningClimate ScienceData AnalysisStatistical ModelingProgramming
Requirements
A background in machine learning is required, along with an interest in applying skills to climate change issues. Collaboration with scientists across the project is essential.
Job Description
Salary: Grade 7 (£41,064 – £48,822 p.a. depending on experience)
Interviews will be held on 16/17 July 2026.
Are you an ambitious researcher looking for your next challenge? Do you have a background in machine learning with an interest in applying your skills to pressing societal issues like climate change? Do you want to further your career in one of the UK’s leading research intensive Universities?
You will join a team of climate scientists and machine learning specialists at the University of Leeds to work on the new EU Horizon Europe project “Dynamic climate-agriculture intelligence for EU land management and cropping systems adaptation (TIPPING)”. TIPPING is a 3-year project coordinated by Neuropublic, an SME based in Greece, and involving 16 partners across Europe. You will work with Prof Amanda Maycock, Dr Chetan Deva and Dr Maria Karypidou to develop machine learning downscaling methods for climate model datasets to provide high spatial resolution climate information that will be used by other partners to assess the changing agroecological zones in Europe under future scenarios. We will also apply machine learning to study the potential effects of future climate tipping points on agriculture. You will work collaboratively with scientists across the project.
Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information please visit: www.gov.uk/skilled-worker-visa.
For research and academic posts, we will consider eligibility under the Global Talent visa. For more information please visit: https://www.gov.uk/global-talent.
What We Offer In Return
26 days holiday plus approx. 16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!
Generous pension scheme plus life assurance - The University contributes 14.5% of salary.
Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
Personal Development: Access to courses run by our Organisational Development & Professional Learning team.
Access to on-site childcare, shopping discounts and travel schemes are also available.
And much more!
To explore the post further or for any queries you may have, please contact:
Professor Amanda Maycock, Professor of Climate Dynamics
Email: a.c.maycock@leeds.ac.uk
Dr Chetan Deva, Lecturer in Machine Learning for Weather and Climate
Email: c.r.deva@leeds.ac.uk
Interviews will be held on 16/17 July 2026.
Are you an ambitious researcher looking for your next challenge? Do you have a background in machine learning with an interest in applying your skills to pressing societal issues like climate change? Do you want to further your career in one of the UK’s leading research intensive Universities?
You will join a team of climate scientists and machine learning specialists at the University of Leeds to work on the new EU Horizon Europe project “Dynamic climate-agriculture intelligence for EU land management and cropping systems adaptation (TIPPING)”. TIPPING is a 3-year project coordinated by Neuropublic, an SME based in Greece, and involving 16 partners across Europe. You will work with Prof Amanda Maycock, Dr Chetan Deva and Dr Maria Karypidou to develop machine learning downscaling methods for climate model datasets to provide high spatial resolution climate information that will be used by other partners to assess the changing agroecological zones in Europe under future scenarios. We will also apply machine learning to study the potential effects of future climate tipping points on agriculture. You will work collaboratively with scientists across the project.
Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information please visit: www.gov.uk/skilled-worker-visa.
For research and academic posts, we will consider eligibility under the Global Talent visa. For more information please visit: https://www.gov.uk/global-talent.
What We Offer In Return
26 days holiday plus approx. 16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!
Generous pension scheme plus life assurance - The University contributes 14.5% of salary.
Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
Personal Development: Access to courses run by our Organisational Development & Professional Learning team.
Access to on-site childcare, shopping discounts and travel schemes are also available.
And much more!
To explore the post further or for any queries you may have, please contact:
Professor Amanda Maycock, Professor of Climate Dynamics
Email: a.c.maycock@leeds.ac.uk
Dr Chetan Deva, Lecturer in Machine Learning for Weather and Climate
Email: c.r.deva@leeds.ac.uk
Skills
Machine LearningClimate ScienceData AnalysisStatistical ModelingProgrammingCollaborationResearchProblem Solving