Location: | Birmingham |
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Salary: | £34,980 to £44,263 full time starting salary range, with potential progression once in post to £46,974. Grade: 7 |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 11th April 2024 |
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Closes: | 22nd April 2024 |
Job Ref: | 103620 |
Contract Type: Fixed Term contract up to March 2027
The Research Fellow will develop ML-based postprocessing methods for precipitation forecasts with the global NEPS-G model of the National Centre for Medium Range Weather Forecasting (NCMRWF, India). The position is within the project ‘HEavy Precipitation forecast Post-processing over India with Machine Learning’ (HEPPI-ML), which is funded through the ‘Weather and Climate Science for Service Partnership’ (WCSSP) programme (<https://www.metoffice.gov.uk/research/approach/collaboration/wcssp/cssp-india/weather-and-climate-science-for-service-partnership-india-wcssp-india>)
The researcher will work with Dr. Martin Widmann, Dr. Ruth Geen and Prof. Gregor Leckebusch at the University of Birmingham, and with Dr. Andrew Orr at the British Antarctic Survey. The project will be undertaken in close collaboration with NCMRWF and the UK Met Office, and include project meetings in India and work visits to the UK Met Office. HEPPI-ML is one out of several WCSSP-India projects and joint meetings will provide an opportunity for further networking.
Main Duties
Person Specification
Informal enquiries to Martin Widmann email: m.widmann@bham.ac.uk
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