Research Associate in Greenhouse Gas Inverse Modelling
University of Bristol – Physical and Theoretical Chemistry
Salary: £36,333 to £40,745 per annum, Grade I / Pathway 2
Hours: Full time
Contract Type: Fixed-Term/Contract
Placed On: 3rd May 2023
Closes: 31st May 2023
Job Ref: ACAD106593
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 newly announced 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 quantify 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 org project, a cloud-based community platform for greenhouse gas data analysis
The post-holder will use 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 the 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, or expects to obtain, a PhD 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.
The contract will initially be for a 2-year period and can likely be extended, if mutually agreeable. The post is available to start as soon as possible.
For informal enquiries, contact: Prof. Matt Rigby firstname.lastname@example.org
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