Website CEEW - Council on Energy, Environment and Water
Job Duties and Accountabilities
Primary Responsibilities
Research and analysis
- Undertake geospatial modelling to support development of granular indices such as urban heat islands, mapping of green and water cover among others.
- Use programming languages, primarily Python (libraries like Pandas, NumPy, Xarray), tools like ArcGIS, QGIS, Google Earth Engine, and modern systems of scientific repeatability and engineering scalability (e.g. GitHub) to work on big climate and geospatial data to develop granular climate risk indices.
- Work extensively with CMIP5 and CMIP6-based climatological projections to derive climatic outlooks at the sub-national level through statistical methods such as downscaling, bias correction and zonal statistics.
- Contribute to desktop research and mining data from structured, semi-structured, and unstructured sources to develop and improve our climate risk assessments.
- Working on GIS raster and vector datasets (e.g. NDVI, DEM, Elevation, hydrology network) using QGIS, ArcGIS, and Google Earth Engine derived from platforms like USGS, ESRI, et al.
- Creating GIS shapefiles for analysis and preparing GIS-based maps from the extreme event and climate variability database.
- Supporting the team with carrying out a literature review and research writing about climatological and spatial analysis.
- Other Responsibilities
- Support the team and build individual capacity in strategic communications through regular blogs and op-eds.
- Respond to research requests from senior researchers, discuss research needs, and prepare responses that synthesize and analyze information.
- Assist with program implementation, including help with preparing presentations.
- Assist with planning and executing events such as report launches, consultation workshops, round table discussions, etc.
- Participate constructively in weekly team meetings.
- Provide inputs on research methodology and data analysis tools.
Selection Criteria
Educational Qualification - Preferably Master’s/Bachelor’s degree in data science, climate studies, atmospheric science, GIS, environmental science, and other allied fields.
Work experience - 0-3 years.
- Candidates in the final semesters of their Bachelor’s/Master’s can apply.
Key skills - Subject domain knowledge of climate data analytics, atmospheric sciences, meteorology and geospatial technology.
- Proficiency in working with big climate and geospatial data in NetCDF, raster, and vector formats.
- Demonstrated ability to use the Python programming language and proficiency in using Jupyter
- Notebook and Python libraries like Xarray, Pandas, Geopandas and NumPy.
- Proficiency in climate statistics and understanding of climatic projections derived from Global and regional climate models and their downscaling, bias correction etc.
- Proficiency in ArcGIS/QGIS/Google Earth Engine.
- Good knowledge of statistical tools (Excel, SPSS) and their applications.
- Demonstrated ability to perform a literature review.
- “If you are passionate about leveraging data for creating decision-making toolkits that help in effective policy-making, we would like to speak to you. If you can help in turning big climate
- datasets into insightful analytics, while also upskilling yourself in the public policy space, you are probably the candidate we are looking for.”
CEEW operates in a dynamic environment and the candidate will be required to show flexibility in undertaking a variety of tasks.
Compensation
Competitive compensation – commensurate to the experience and matching the best of standards adopted by the industry or other similar organisations for similar roles.
Application Process
- CEEW is an equal-opportunity employer and the selection process does not discriminate on the basis of age, gender, caste, ethnicity, religion, or sexuality. Female candidates are encouraged to apply.
- Applications will be reviewed on a rolling basis. Interested applicants are advised to apply at the earliest possible.
- Only shortlisted candidates will be notified by us. We appreciate your interest.
Start Application Process
To apply for this job please visit www.ceew.in.
