Research Associate - Environmental Data Scientist Modelling

Do you have excellent data science skills and want to contribute to a prestigious UK air pollution modelling contract? Your role will be to process data from hemispheric to local scales as well as to develop new modelling methods using AI and Machine Learning, to improve model performance and to contribute to UK policy development.

We actively encourage applications from women and other underrepresented groups. Our team is currently male-dominated, and we are committed to building a more diverse and inclusive workplace where everyone can thrive.

Working closely with colleagues in the Environmental Research Group, you’ll help process the data required for the Weather Researching and Forecasting (WRF) meteorological and Community Multi Scale Air Quality (CMAQ) chemical transport models and help analyse outputs. This will entail working with large and varied datasets, including use of Geographic Information Systems (GIS), code development and the application of AI methods. You’ll produce work of the highest standards and actively encourage high standards in others. You’ll also contribute to ERG’s wider role in Imperial, including to teaching.

The post holder should have a PhD in a relevant subject, have relevant data science experience, be familiar with machine learning and AI techniques, have excellent written and verbal skills, manage their own workload and contribute to attracting funds for the group. You should be very familiar with working in a Linux environment and have experience of processing data in typical gridded file types eg. netCDF, GRIB2, HDF5 as well as working with remote sensing and satellite products.

This is a chance to join a leading air pollution modelling group specialising in UK air quality policy and health as well as the co-benefits of climate policy.
Experience beyond the UK. ERG are engaged in modelling other significant air pollution impacts including wildfires and the exposure to plastic waste burning in SE Asia.
Collaborate with a diverse and complimentary group of researchers within Imperial’s White city campus, with >500 researchers, engineers, scientists and clinicians.
Grow your career: gain access to Imperial’s sector-leading as well as opportunities for promotion and progression.
Sector-leading salary and remuneration package (including 39 days off a year and generous pension schemes).
Be part of a diverse, inclusive and collaborative work culture with various and resources to support your personal and professional .