PostDoc Position in European operational monitoring and verification of fossil fuel CO2 emissions at the University of Edinburgh, UK

The University of Edinburgh

Deadline: April 12, 2021

The University of Edinburgh wish to appoint a Postdoctoral Research Associate to develop specific components of an observation-led monitoring and verification system to estimate European fossil fuel carbon dioxide emissions (ffCO2) using in situ and remotely sensed measurements of CO2 and co-emitted tracers. This appointment is part of the H2020 project CoCO2 (IBA-SPACE-CHE2-2019) that includes 25 partner institutes across Europe. 

About the Position

As a world-leading research-intensive University, they are here to address tomorrow’s greatest challenges. Between now and 2030 they will do that with a values-led approach to teaching, research and innovation, and through the strength of their relationships, both locally and globally.

To address these project objectives, you will:

  • develop the established GEOS-Chem chemistry transport model to describe space-borne observations of CO2 and reactive trace gases (e.g., CO, and NO2);
  • confront this model with a range of data from Earth-orbiting satellites and study the resulting CO2:CO:NO2 correlations;
  • developed an established inverse model framework to infer anthropogenic CO2 fluxes over the UK and mainland Europe, taking advantage of correlations between CO2 and co-emitted reactive trace gases.

Duties and Responsibilities

  • Lead the GEOS-Chem chemistry transport modelling and the associated data analysis and inversion activities associated with the interpretation of the satellite observations of atmospheric CO2 and co-emitted reactive trace gases (75%)
  • Lead the delivery of results and associated peer-review publications and conference presentations. (15%)
  • Liaise with research groups within the CoCO2 project (10%)

Eligibility

  • A PhD (or a PhD close to completion) in a relevant quantitative scientific discipline.
  • Expertise in developing and running an atmospheric chemistry transport model
  • Experience in interpreting data.
  • Experience with FORTRAN and Python computer languages.
  • Proven ability to work independently and efficiently.
  • Excellent organisational skills
  • Excellent skills in writing for academic and/or other audiences.
  • Excellent oral presentation and communication skills.
  • Peer reviewed publications in a relevant field.
  • Proven ability to work as a member of a team.

For more information: Check the official Institution website

To apply click here