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.
* Robust 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

📌 Analyst (Noida)
🏢 CSTEP
📍 Noida