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A prestigious academic institution is seeking a researcher for a full-time position in climate science. The role involves using AI and satellite observations to investigate solar radiation management impacts. Candidates should have a PhD or equivalent, programming skills, and experience with climate data analysis. This position offers a competitive salary within a collaborative research environment based in Birmingham, UK.
Position Details
School of Geography, Earth and Environmental Sciences
Location: University of Birmingham, Edgbaston, Birmingham UK
Full time starting salary is normally in the range £36,636 to £46,049 with potential progression once in post to £48,822
Grade: 7
Full Time, Fixed Term contract up to January 2029
Closing date: 5th October 2025
Background
The Project:
World Meteorological Organization (WMO) has confirmed that 2024 was the first year that global temperatures reached +1.5°C higher than pre-industrial levels. While a temperature rise of 1.5°C for a single year doesn’t mean that we have breached our commitments under the Paris Agreement (as global warming is an average over decades), it is a strong warning signal that we are getting closer. To address this, some countries are considering Solar Radiation Management (SRM) methods to artificially cool the Earth by reflecting more sunlight back into space, buying time for global decarbonisation.
The main SRM methods are: 1) Stratosphere Aerosol Injection (SAI), which creates a protective aerosol layer; 2) Marine Cloud Brightening (MCB), which increases cloud reflectivity over oceans.
While these methods could slowdown warming, their effectiveness and side effects, such as ozone depletion and altered weather patterns, are uncertain.
‘Quantifying efficacy and risks of solar radiation management approaches using natural analogues’ (QUESTION) aims to study SRM using natural analogues, such as wildfires and volcanic eruptions. These analogues have happened in the recent Earth history and therefore no worrying of side-effects from any new field experiments, and will give us clues what might happen should we attempt to do solar radiation management.
In QUESTION, the University of Birmingham and University of Edinburgh, and the Center for International Climate Research (CICERO, Norway) will work together to will address challenges in separating SRM signals from other factors, improving climate models, and attributing climate responses of SRM.
This research will help assess SRM’s risks and benefits, supporting informed climate action.
The Post:
One full-time position (36 months) available for the QUESTION project, with a negotiable start date on 5th Jan. 2026, based in the University of Birmingham UK.
This position willuse further develop thenovel AI/machine-learning (ML) approach in Chen et al. (2022 & 2024, Nature Geoscience) and apply to stratosphere, in order to investigate SAI’s impacts, using natural analogues. You will quantify the influence of SAI on stratospheric chemistry, such as aerosol, ozone, chloride, water vapour, etc.; as well as to understand SAI’s highly influential impacts, such as ozone layer depletion, tropics drying, ITCZ shifting, extreme precipitation, etc.Satellite remote sensing will be used in conjunction with meteorological reanalysis, AI and global climate modelsto understand the efficacy of SAI and its unintended consequence to underpin risk-risk assessment for policymaking.
This post will be supervised by Dr Ying Chen and co-supervised by Dr Mike Cassidy and Prof Roy Harrison in the University of Birmingham, UK. You are also expected to work closely and collegially with teams in Edinburgh (Dr Yu Wang, Dr Andrew Schurer and Prof Gabi Hegerl) and CICERO (Dr Øivind Hodnebrog and Dr Gunnar Myhre).
Role Summary
Main Duties
The responsibilities may include some but not all of the responsibilities outlined below.
Person Specification
What we can offer you:
How to apply:
Please upload your CV, cover letter, and a Personal Statement detailing your motivation and how your experience meets the requirements. Please combine your CV, Cover Letter, referee contacts and other statements (if applicable) into a single .pdf file and upload it to the application system.
Informal enquiries to Dr Ying Chen, email: y.chen.21@bham.ac.uk
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