Research Associate/Senior Research Associate in Greenhouse Gas Inverse Modelling

The role

Atmospheric observations of greenhouse gases and ozone depleting substances are playing an increasingly important role in evaluating the success of climate agreements. We are seeking a research associate to develop and use greenhouse gas modelling and data analysis frameworks for national and global emissions evaluation. This work will contribute to several exciting UK-wide and international projects, including: 

• The UK Greenhouse gas Emissions Measurement and Modelling Advancement (GEMMA), developing the next-generation, operational greenhouse gas emissions evaluation system for the UK 
• The Horizon Europe project, PARIS (Process Attribution for Regional emIssions), which will work with 8 national inventory agencies to better European greenhouse gas emissions 
• The NERC Highlight Topic InHALE (Investigating HALocarbon impacts on the global Environment), estimating regional emissions of potent greenhouse gases and ozone depleting substances around the world 
• The OpenGHG.org project, a cloud-based community platform for greenhouse gas data analysis 

The post-holder will run numerical models that simulate the dispersion of greenhouse gases through the atmosphere. These models will be used, in Bayesian inference frameworks, to estimate surface fluxes from in situ and satellite observations. The derived emissions are used to track progress on climate agreements, improve national inventory reports, help decisionmakers effectively target mitigation measures, and learn about natural emissions changes.  

What will you be doing?

The postholder will work with UK, European and other international greenhouse gas monitoring networks, to interpret measurement data using atmospheric models. They will have the opportunity to use and develop atmospheric models of varying complexity and examine regional emissions trends using high-resolution simulations and data. To combine the data and models, and estimate uncertainties, they will develop and use Bayesian “inverse modelling” techniques.  

You will work closely with a team of around 10 researchers in the ACRG studying greenhouse gases and ozone depleting substances, with several institutions across the UK and Europe through the InHALE, GEMMA and PARIS projects, and with international colleagues in the AGAGE and NOAA networks

You should apply if

We are seeking an ambitious, self-motivated researcher who holds a postgraduate qualification in physical sciences, computing, mathematics, or similar fields. A high level of computational expertise is essential. Familiarity with Bayesian methods and/or atmospheric science is desirable. Excellent communication and teamworking skills are essential.

Additional information

Contract type: Open ended with fixed funding until 01/02/2028

The intention is to offer the post with an initial term of 1-2 years, which can likely be extended, if mutually agreeable. The post is available to start as soon as possible.

This advert will close at 23:59 UK time on Thursday 8th January 2026.

Interviews are expected to take place on Wednesday 14th January 2026.

For informal queries, please contact: Prof in the School of Chemistry, Matt Rigby matt.rigby@bristol.ac.uk

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The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an inclusive working environment where all colleagues can thrive and reach their full potential. We want to attract, develop, and retain individuals with different experiences, backgrounds and perspectives – particularly people of colour, LGBT+ and disabled people - because diversity of people and ideas remains integral to our excellence as a global civic institution.

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