University of Bristol - School of Physiology, Pharmacology and Neuroscience
Research Associate/Senior Research Associate in Greenhouse Gas Inverse Modelling
University of Bristol - School of Physiology, Pharmacology and Neuroscience, Bristol, Connecticut, us, 06010
Research Associate/Senior Research Associate in Greenhouse Gas Inverse Modelling
Apply for the role at the University of Bristol – School of Physiology, Pharmacology and Neuroscience.
Overview Atmospheric observations of greenhouse gases and ozone‑depleting substances are increasingly important for evaluating the success of climate agreements. The role is to develop and use greenhouse gas modelling and data analysis frameworks for national and global emissions evaluation. This work contributes to UK‑wide and international projects, including:
UK Greenhouse Gas Emissions Measurement and Modelling Advancement (GEMMA), developing next‑generation operational greenhouse gas emissions evaluation system for the UK.
Horizon Europe project, PARIS (Process Attribution for Regional Emissions), working with eight national inventory agencies.
NERC Highlight Topic InHALE, estimating regional emissions of potent greenhouse gases and ozone‑depleting substances worldwide.
OpenGHG.org, a cloud‑based community platform for greenhouse gas data analysis.
Responsibilities The post‑holder will run numerical models that simulate the dispersion of greenhouse gases through the atmosphere. Models will be used, within Bayesian inference frameworks, to estimate surface fluxes from in situ and satellite observations. Derived emissions will track progress on climate agreements, improve national inventory reports, help decision‑makers target mitigation measures, and inform natural emissions changes.
The post‑holder 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, examine regional emissions trends using high‑resolution simulations and data, and develop and use Bayesian “inverse modelling” techniques to combine data and models and estimate uncertainties.
They will work closely with a team of around ten researchers in the ACRG studying greenhouse gases, 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.
Qualifications Ambitious, self‑motivated researcher with a postgraduate qualification in physical sciences, computing, mathematics, or similar fields. High level of computational expertise is essential. Familiarity with Bayesian methods and/or atmospheric science is desirable. Excellent communication and teamwork skills are required.
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, likely extendable.
Work pattern: Full time.
Grade: I‑J/Pathway 2.
Salary: £39,906 – £44,746 (Grade I) or £43,482 – £50,253 (Grade J) per annum, depending on experience.
School: School of Chemistry.
Advert closes at 23:59 UK time on Thursday 8th January 2026.
Interviews expected on Wednesday 14th January 2026.
Contact: Prof Matt Rigby, matt.rigby@bristol.ac.uk.
EEO Statement 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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Overview Atmospheric observations of greenhouse gases and ozone‑depleting substances are increasingly important for evaluating the success of climate agreements. The role is to develop and use greenhouse gas modelling and data analysis frameworks for national and global emissions evaluation. This work contributes to UK‑wide and international projects, including:
UK Greenhouse Gas Emissions Measurement and Modelling Advancement (GEMMA), developing next‑generation operational greenhouse gas emissions evaluation system for the UK.
Horizon Europe project, PARIS (Process Attribution for Regional Emissions), working with eight national inventory agencies.
NERC Highlight Topic InHALE, estimating regional emissions of potent greenhouse gases and ozone‑depleting substances worldwide.
OpenGHG.org, a cloud‑based community platform for greenhouse gas data analysis.
Responsibilities The post‑holder will run numerical models that simulate the dispersion of greenhouse gases through the atmosphere. Models will be used, within Bayesian inference frameworks, to estimate surface fluxes from in situ and satellite observations. Derived emissions will track progress on climate agreements, improve national inventory reports, help decision‑makers target mitigation measures, and inform natural emissions changes.
The post‑holder 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, examine regional emissions trends using high‑resolution simulations and data, and develop and use Bayesian “inverse modelling” techniques to combine data and models and estimate uncertainties.
They will work closely with a team of around ten researchers in the ACRG studying greenhouse gases, 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.
Qualifications Ambitious, self‑motivated researcher with a postgraduate qualification in physical sciences, computing, mathematics, or similar fields. High level of computational expertise is essential. Familiarity with Bayesian methods and/or atmospheric science is desirable. Excellent communication and teamwork skills are required.
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, likely extendable.
Work pattern: Full time.
Grade: I‑J/Pathway 2.
Salary: £39,906 – £44,746 (Grade I) or £43,482 – £50,253 (Grade J) per annum, depending on experience.
School: School of Chemistry.
Advert closes at 23:59 UK time on Thursday 8th January 2026.
Interviews expected on Wednesday 14th January 2026.
Contact: Prof Matt Rigby, matt.rigby@bristol.ac.uk.
EEO Statement 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.
#J-18808-Ljbffr