Research Fellow in Machine Learning for African - Leeds, United Kingdom - University of Leeds
Description
Research Fellow in Machine Learning for African Storm Prediction:
Salary:
Grade 7 (£37,099 - £44,263 p.a. depending on experience)
This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner.
The University of Leeds is one of the top 75 universities in the world.
We have a truly global community, with more than 39,000 students from 170 different countries and over 9,000 staff of 100 different nationalities.
Established in 1904, we have a strong tradition of academic excellence, reflected in first-class student education, along with world-leading research that has a real impact around the globe.
Tropical storms are inherently chaotic, on timescales of a few hours, and therefore daily forecasts of rainfall always have uncertainty.
For this reason, "nowcasting" - the communication of real-time observations and short-range (0-6 hour) predictions, is vitally needed across the African continent.
However, very few people in Africa currently benefit from nowcasting information.
In delivering the real-time nowcasting services, our aim is to provide the capabilities needed for African national weather services and private sector companies to enhance their delivery of weather forecasts and ensure access to high-quality weather information for African populations.
These partners will collaborate in this project, particularly in evaluation and implementation of methods, but also in our support for capacity-building in Africa.
Ultimately, better preparedness and informed decision-making using nowcasting information will improve climate resilience and save lives and livelihoods.
The project is led by the UK's National Centre for Atmospheric Science (NCAS) at the University of Leeds and will be a collaborative enterprise between the Schools of Mathematics, Computing and Earth & Environment in Leeds, and the UK Centre for Ecology and Hydrology (UKCEH) in Wallingford.
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
- Health and Wellbeing: Discounted staff membership options at The Edge, our stateoftheart 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 onsite childcare, shopping discounts and travel schemes are also available.
To explore the post further or for any queries you may have, please contact:
Professor Doug Parker, Science Co-ordinator for NCAS at Leeds
Location:
- Leeds
- Main Campus
Faculty/Service: - Faculty of Environment
School/Institute: - National Centre for Atmospheric Science (NCAS)
Category: - Research
Grade: - Grade 7
Salary:
Working Time:
- 37.5 hours
Post Type: - Full Time
Contract Type: - Fixed Term (for 24 months to complete specific time limited work.)
Release Date:
- Wednesday 28 February 2024
Closing Date: - Wednesday 03 April 2024
Reference: - ENVNC1019
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