PhD Studentship: AI-Driven UK Pollen Season Forecasting

University of Birmingham; Birmingham; On-site; GBP 17,000 - 20,000; Full time

Job summary

The University of Birmingham invites applications for a PhD project focused on understanding and forecasting airborne pollen across the UK, in collaboration with the UK Met Office. The project will develop next-generation machine learning models to predict seasonal pollen magnitude using a UK-wide pollen reanalysis and long-term observations.

You will investigate how prior-season pollen, meteorological conditions, and flowering season dynamics combine to drive interannual variability, delivering

Qualifications

• PhD project in pollen forecasting using ML methods.
• Experience with Python and ML methods is desirable.
• Background in environmental science, mathematics, or data science.

Skills

Machine learning

Environmental modelling

Education

2:1 BSc or MSc required

Tools

Python

ML tools

Job description

The University of Birmingham invites applications for a PhD project focused on understanding and forecasting airborne pollen across the UK, in collaboration with the UK Met Office. The project will develop next-generation machine learning models to predict seasonal pollen magnitude using a UK-wide pollen reanalysis and long-term observations.

You will investigate how prior-season pollen, meteorological conditions, and flowering season dynamics combine to drive interannual variability, delivering