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Research Associate in Climate Analysis and Modelling

The University of Edinburgh

City of Edinburgh

On-site

GBP 40,000 - 49,000

Full time

4 days ago
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Job summary

An established industry player is seeking a Research Associate to contribute to a vital climate project aimed at enhancing reforestation strategies in Madagascar. This role involves analyzing climate model data and observations to understand regional climate dynamics and the impact of extreme weather events. The successful candidate will leverage machine learning techniques to improve climate projections and collaborate with international partners. This is an exciting opportunity to make a significant impact in climate research while working in a supportive and innovative environment.

Qualifications

  • Experience in climate model data analysis and remote sensing.
  • Strong skills in machine learning and statistical methods.

Responsibilities

  • Analyze climate observations and model projections for regional climate characterization.
  • Estimate uncertainties and impacts of extreme climate events.

Skills

Climate model data analysis
Machine learning
Statistical analysis methods
Research collaboration
Publishing in peer-reviewed journals

Education

PhD in Climate Science or related field

Tools

Remote sensing data analysis

Job description

Full-time: 35 hours per week

Fixed term: 24 months

Research Associate in Climate Analysis and Modelling - University of Edinburgh Careers

This Research Associate position will contribute to the BResilient project (Bamboo as a vital ingredient in reforestation strategies to promote resilient and sustainable communities and enterprises in Madagascar). The project is led by the Institute for Infrastructure and Environment at the University of Edinburgh, in collaboration with colleagues at the School of GeoSciences, University of Edinburgh, ESSA, University of Antananarivo, Madagascar, and Liverpool John Moores University.

The researcher will perform an analysis of available climate observations, including reanalysis data, to build a comprehensive characterisation of regional climate, including the occurrence of extremes (e.g., tropical cyclones) and their impact on regional resources (e.g., forests). By performing an analysis of future climate model projections, they will determine how the climate will evolve and whether the frequency and severity of extreme events change with time. They will also estimate uncertainties, and the extent to which changes are anthropogenically driven as opposed to being part of natural fluctuations. The researcher will also make use of remote sensing data (e.g., vegetation and land-surface properties) to better constrain model-simulated climate. Use of machine learning methods (e.g., to improve model-based estimates or to provide further mechanistic insights into future climate projections) is strongly encouraged.

Your skills and attributes for success:

  • Solid experience in the analysis of climate model data and observations (in situ, reanalysis, satellite-derived)
  • Enthusiasm for climate research and independence to come up with own ideas
  • Willingness to develop and maintain international research collaborations with partners in academia and the humanitarian sector
  • Track record of publishing results in international peer-reviewed journals
  • Skills in machine learning and statistical analysis methods

£40,497 to £48,149 per annum (Grade 7)

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