Research Intern - Tech and AI

Council on Energy, Environment and Water; New Delhi; On-site; INR 223,000 - 446,000; Full time

Job summary

Council on Energy, Environment and Water (CEEW), New Delhi, is seeking a Research Intern in Tech and AI to support climate data work, CRAVIS.ai tool development, and data-driven analysis. The role involves handling climate datasets, cloud computing, and collaboration with policymakers.

The ideal candidate has a background in climate sciences or data science, with hands-on programming in Python and GIS, and a willingness to engage in workshops and research dissemination.

Qualifications

• Strong understanding of climate data, climate indicators, and resilience frameworks.
• Experience with parallel computing and cloud computing.
• Hands-on in working with 3D/4D gridded data and concentration scenarios (RCPs, SSPs).
• Ability to collect, organise, and analyse primary and secondary data.
• Familiarity with data mining, cleaning and literature reviews.

Responsibilities

• Conduct climate data analysis and support CRAVIS.ai-related research.
• Assist with data collection at multiple administrative levels.
• Develop methodologies for climate indicator calculation and risk assessment.
• Prepare presentations and contribute to outreach materials for CRAVIS.ai.

Skills

Python

NumPy

xarray

CDO

GIS

Shell scripting

Education

Master's degree in Climate Science/Data Science/CS

Pursuing Bachelor's/Master's can apply

Tools

RegCM

Unix shell

Job description

Council on Energy, Environment and Water (CEEW), New Delhi
Research Intern - Tech and AI

At CEEW, we are deliberate about what we stand foras an employer. So, if the below description strikes a chord, we would love to hear from you!

At CEEW, we build careers in public policy

• We offer strong visionary leadership – with emphasis on research and impact at scale
• We actively promote leadership by initiative
• We celebrate talent and ambition
• You will be surrounded by smart people who will challenge you and help you grow
• You will learn faster than your peers in other organisations
• Curiosity and irreverence, as well as responsibility, come together at CEEW
• You will get above-market remuneration
• We provide a safe space for all
• At CEEW, your life is your example for others

Designation offered
Research Intern

Reporting to
Program Associate

Team/ Focus area
Climate Sciences

Duration
3 months (extendable based on deliverables and performance to a full-time consultant position)

Purpose

CEEW is looking to hire a Research intern to support our newly launched CRAVIS.ai tool in calculating indicators, designing climate data and implementing the data channel.

The candidate should have a strong understanding of dealing with climate data, parallel computing, and hands‑on experience in working with cloud computing, complex 3D and 4D gridded data and concentration scenarios (RCPs, SSPs) datasets. The role will involve supporting the collection, organisation, and analysis of primary and secondary data, and contributing to the upgrade of the CRAVIS.ai tool and other related tools. Additionally, the candidate will assist the core research team with data mining and cleaning, data analysis, and conducting literature reviews.

In addition to research and analysis, the candidate will be responsible for engaging with stakeholders and policymakers to provide support on outreach components for CRAVIS.ai -related work and gathering valuable insights. This involves organising workshops and collaborating with local authorities. The ideal candidate should possess an educational background in atmospheric science, climate sciences, environmental science, disaster management, or other related fields.

Key skills include experience with CDO, Python (especially numpy, xarray, xesmf, xclim), shell scripting, GIS tools, Microsoft Office, and statistical tools. Knowledge of RegCM is a plus.

In addition to the duties and responsibilities outlined above, the individual should be prepared to take on additional responsibilities as necessary.

Job Duties and Accountabilities

Primary responsibilities

Research and analysis

• Conduct rigorous research on democratising climate data Intelligence, climate risk mapping and vulnerabilities, focusing on climate, socio-economic and physical factors.
• Conduct a climate data bias correcting, statistical analysis and technical documentation.
• Support the design and implementation of CRAVIS.ai‑related research and disaster vulnerability assessments in India and other identified local and state‑level.
• Reviewing global climate model (CMIP6, CMIP7, etc.) literature, identify knowledge Gaps and best practices.
• Assist in developing effective methodologies for climate indicator calculation and risk assessment.
• Assist in conducting primary and secondary data collection at the Block, District, State and National levels.
• Utilise quantitative data skills, including Python, CDO, and GIS, for analysis and visualisation of research findings.
• Stay updated on emerging trends and developments in disaster management and climate resilience.
• Adapt to evolving project needs and take on additional responsibilities as required.

Other responsibilities

• Support the team and build individual capacity in strategic communications through regular blogs and op eds.
• Organise and clean field data for analysis under the guidance of the Research Analyst/Sr. Consultant.
• Assist in integrating socio‑economic and climate datasets (e.g., Census, RCMs, geographical and other relevant information) to support the maintenance of cravis.ai.
• Respond to research requests from researchers, discuss research needs, and prepare responses that synthesise and analyse information.
• Assist with program implementation, including help with preparing presentations.
• Participate constructively in weekly team meetings.
• Provide inputs on research methodology and data analysis tools.

Selection Criteria

Qualification

• Preferably a Master's degree in Climate Science, Data Science, Computer Science or other related fields.
• 0-1 years. Candidates pursuing their Bachelor's/Master’s can apply.
• A strong understanding of climate, disaster risk index, and resilience assessment frameworks, such as those provided by the IPCC and UNDRR, including components, such as hazard, risk, exposure and vulnerability.
• Sector-level comprehension of disaster management and its interaction with climate change and the impacts of climatic disasters, to reduce the loss of life and property, minimise risks, and build public awareness of human health.
• Knowledgeable Gaps in extreme events about the disaster management and the disaster governance mechanisms in India.
• Experience in mapping local-level socio‑economic and physical vulnerabilities and risks through desk research and field surveys.
• Proficient in handling various datasets, such as environmental, geographical, Census, and other government-generated datasets.
• Ability to generate granular climate risk indices by integrating multiple climatological and geospatial datasets of hazards and exposure.
• Familiarity with programming languages like Unix, Python and statistical tools for data analysis.
• Understanding of disaster management and climate sciences.
• Excellent communication and collaboration skills.
• Detail‑oriented approach to research and analysis.
• Adaptability and willingness to learn new skills as required.

If you are passionate about democratising climate data Intelligence that addresses local‑level risks and vulnerabilities and want to contribute to advancing India, we would like to speak to you. If you can assist in mapping climate risks to develop insightful analytics while also enhancing your skills in the public policy space, you are likely 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 with the experience and matching the best of the standards adopted by industry or other similar organisations for similar roles.

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