Research Associate – Global Hazard Hotspot Identification

University of Edinburgh Information Services Group

. Investigate how shifting climate patterns alter flood and drought hazard patterns and wildfire occurrence .

Posted 10/27/2026full-timeEdinburgh • United KingdomJuniorMid-Level💰 £41,885 - £49,798 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in climate hazard modelling, including flood, drought, and wildfire occurrences, while utilizing advanced geospatial analysis and statistical programming to process and synthesize large-scale climate data. Proficient in developing integrated modelling frameworks and probabilistic approaches to assess and predict climate-related risks.

Highest-signal resume keywords

Doctorate DegreeGeospatial AnalysisClimate ModelsStatistical ProgrammingProbabilistic Approaches

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Geospatial AnalysisStatistical ProgrammingClimate Hazard ModellingData ProcessingData SynthesisDownscaling Climate DataEnsemble MethodsFlood ModellingDrought ModellingWildfire Modelling

Tools & Technologies

CMIP6ISIMIP

Certifications & Qualifications

Right to Work in the UKSkilled Worker VisaEnglish Language Requirements

Industry Keywords

Climate Change ProjectionsHydrological ResponsesHazard MagnitudeHazard SeverityHazard DurationGlobal Climate ModelsLocal Risk InsightsWater-Related HazardsSSPs

About the role

Key responsibilities & impact

Investigate how shifting climate patterns alter flood and drought hazard patterns and wildfire occurrence
Develop an integrated modelling framework linking climate change projections to hydrological responses
Model future global flood, drought, and wildfire occurrences across spatial and temporal scales
Develop a probabilistic ensemble framework to handle uncertainty and analyse changing global hazards
Identify hotspots of increasing hazard magnitude, severity, or duration
Detect floods and droughts using threshold metrics and extract events from global climate projections
Model wildfire frequencies, severities, and spatial extents using climate ensembles and land-use projections
Assess how vegetation loss and soil-property changes alter the hydrological cycle
Process, synthesise, and downscale data from global climate models into local risk insights
Produce robust estimates of future water-related hazards for the wider University of Bristol and Newcastle consortium
Contribute outputs to research exploring the global health burden of water supply under different SSPs

Requirements

What you’ll need

Doctorate Degree (as stated in the posting metadata)
Strong skills in geospatial analysis
Knowledge of climate models and climate data
Statistical programming skills
Experience processing, synthesising, and downscaling large-scale climate data
Experience with probabilistic approaches and ensemble methods
Knowledge of flood, drought, and wildfire hazard modelling
Ability to work with CMIP6/ISIMIP climate projections and land-use projections
Ability to evidence right to work in the UK
International applicants requiring sponsorship must satisfy UK Home Office English Language requirements and secure a Skilled Worker Visa
CV and cover letter stating relevant previous experience and motivation

Benefits

Comp & perks

Generous annual leave entitlement
Defined benefits pension scheme
Wide range of staff discounts
Family-friendly initiatives
Flexible work options
Hybrid working combining remote and regular on-campus working
Professional development, mentoring, training, and networking opportunities
International applicants may be sponsored for a Skilled Worker Visa