We are looking for an Analyst to support the Adaptation and Risk Analysis team in research and project activities related to multi-hazard risk assessment, climate risk, and hazard modelling. The role will involve working with geospatial, climate, and hazard datasets; supporting flood and extreme precipitation risk assessments; and contributing to the development of analytical outputs, technical reports, and other project deliverables.

Responsibilities

• Support hazard modelling and risk assessment for floods, extreme precipitation events, and other climate-related hazards.
• Conduct geospatial analysis using ArcGIS/QGIS for hazard mapping, vulnerability assessment, and risk analysis.
• Support the development of hazard susceptibility and risk maps using statistical and machine learning approaches.
• Assist in the pre-processing, analysis, and visualisation of geospatial and climate datasets using Python/R.
• Compile, process, and manage datasets from sources including satellite observations, climate datasets, and other relevant sources.
• Support the use of hydraulic and hydrological modelling tools for hazard assessment.
• Contribute to literature reviews, methodological development, and research related to hazard and climate risk modelling.
• Prepare and contribute to technical reports, presentations, documentation, and other project outputs.
• Collaborate with team members and support project activities, as required.

Qualifications

• Master’s degree in Civil Engineering, Hydrology, Water Resources, Environmental Engineering, or a related field.
• 0–1 years of relevant experience, including academic or project experience in hazard assessment, climate risk, hydrology, geospatial analysis, or related areas.
• Demonstrated interest in working on research and projects related to natural hazards, climate risks, and adaptation.

Skill Set

• Basic understanding of natural hazards and climate risk assessment.
• Proficiency in GIS software, particularly ArcGIS or QGIS, is required.
• Basic programming skills in Python or R are required.
• Strong analytical, documentation, and communication skills.
• Strong organisational skills, with the ability to manage multiple tasks, work independently, and meet deadlines.
• Proficiency in Microsoft Office Suite and Google Workspace.
• Knowledge of hydraulic or hydrological modelling tools such as HEC-RAS, PC-SWMM, or similar tools would be an advantage.
• Experience with remote-sensing data processing would be beneficial.
• Familiarity with climate datasets, including rainfall, temperature, climate indices, and other hazard drivers, is preferred.
• Experience handling geospatial and climate datasets would be useful.
• Familiarity with statistical or machine learning approaches for hazard susceptibility and risk mapping would be an advantage.

Duration

24 months

We are looking for a Geospatial Analyst to conduct spatial analysis and support research on climate, energy, and sustainability issues. The role will involve managing and analysing complex spatial datasets, developing GIS methodologies, and creating maps, dashboards, and visualisations. The candidate will work closely with researchers and policy experts and contribute to research reports, policy briefs, and academic publications.

Responsibilities

• Conduct spatial analyses to support project objectives and address research questions.
• Manage and process large and complex spatial datasets using GIS tools such as GEE, ArcGIS Pro, and QGIS.
• Develop and refine GIS research methodologies, ensuring scientific rigour and reproducibility.
• Create maps, dashboards, and data visualisations for reports, presentations, and interactive web applications.
• Collaborate with researchers and policy experts to integrate geospatial insights into broader research initiatives.
• Contribute to and author research reports, policy briefs, and academic publications.
• Maintain clear documentation of data sources, methodologies, and analytical workflows.

Qualifications and Experience

• A master’s degree in geography, GIS, environmental science, data science, or a related field with at least 1 year of relevant professional experience; or a bachelor’s degree with at least 4 years of relevant experience.
• Proven experience in conducting spatial analyses and leading GIS projects from conception to completion.

Skill Set

• Strong analytical and problem-solving skills, with keen attention to detail
• Excellent written and verbal communication skills
• A genuine interest in applying geospatial skills to climate, energy, and sustainability issues
• Familiarity with Google Earth Engine (GEE) for accessing and processing satellite imagery is desirable
• Basic programming skills, preferably in Python, including tools such as Pandas, GeoPandas, and Rasterio
• Understanding of remote-sensing concepts, including spectral indices such as NDVI and NDBI, will be preferred
• Working knowledge of Geo-AI and machine learning techniques
• A portfolio of academic or personal projects, such as a GitHub repository or online map portfolio, would be an added advantage

Duration

24 months