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August 20, 2025

**Job Description**
This post will advance the application of Machine Learning (ML) in weather forecasting and hydrological prediction. The Research Fellow will develop ML methods for postprocessing numerical ensemble weather forecasts over India to improve the skill of precipitation predictions and to generate hydrological forecasts.

**Skills & Abilities**
• Evidence of good understanding (or capacity to develop understanding) of statistics and ML.
• Evidence of a good understanding (or capacity to develop understanding) of meteorological processes and numerical weather prediction, preferably specific knowledge related to monsoon precipitation.
• Good programming skills in languages such as Python, MATLAB or R.
• Familiarity with UNIX/LINUX.
• High level analytical capability.
• Ability to communicate complex information clearly.
• Ability to assess resource requirements and use resources effectively.
• Understanding of and ability to contribute to broader management/administration processes.
• Ability to contribute to the planning and organising of the research programme and/or specific research project.
• Ability to co-ordinate own work with others to avoid conflict or duplication of effort.
• Knowledge of the protected characteristics of the Equality Act 2010.

**Qualifications**
Required Degree(s) in:
• Meteorology
• Machine Learning
• Climate Science
• Physics
• Mathematics
• Statistics
• Related quantitative fields

**Experience**
Other:
• Experience working with large meteorological datasets.

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Experience
Other: • Experience working with large meteorological datasets.
Work Level
Ph.D
Employment Type
Fixed Term, Full-time, Research Job
Salary
Annual Salary: £36,130 - £45,413 with potential progression to £48,149 Position Classification: Grade 7
Valid Until
September 14, 2025
Details
Full-time / Fixed Term Duration: 1 year with a possibility of an extension for one more year Location Requirement: UK and International travel may be required for this role
School / Department / Center / Lab
• School of Geography, Earth and Environmental Sciences
Supervisor(s)
Martin Widmann
Supervisor Email
See Details
University of Birmingham
View profile
Industry
Education
Phone
+44 121 414 3344 +44 121 414 **** Show
Location
Birmingham