We are seeking a technically strong and policy-oriented professional to join the Strategic Initiatives team as a Senior Analyst. The role will focus on advancing research and implementation pathways in carbon capture, utilisation and storage (CCUS); green hydrogen; renewable energy systems; Power-to-X technologies; circular waste management solutions; and other emerging technologies. The candidate will contribute to interdisciplinary projects involving techno-economic assessment, sustainability assessment, systems modelling, policy analysis, stakeholder engagement, and strategy development to support India’s decarbonisation and net-zero transition.

Responsibilities

• Conduct techno-economic, life cycle, and market assessments for CCUS, green hydrogen, renewable energy integration, and waste-to-energy / value pathways.
• Assess policy, regulatory, financing, and infrastructure requirements for scaling emerging low-carbon technologies in India.
• Support the development of national/state roadmaps, policy briefs, technical reports, and strategic recommendations.
• Engage with stakeholders from government, industry, academia, startups, and international organisations to collect data, conduct consultations, and pursue collaborative initiatives.
• Contribute to proposal development, concept notes, grant applications, and project acquisition efforts.
• Present research findings at conferences, workshops, technical forums, and stakeholder consultations.
• Publish high-quality reports, journal papers, articles, and knowledge products.
• Mentor analysts, junior researchers, or interns and support multidisciplinary team coordination. 

Qualifications

• Master’s or PhD degree in Chemical Engineering, Energy Science, Renewable Energy, Environmental Engineering, Process Engineering, Sustainability, Climate Science, or other relevant disciplines.
• Candidates with interdisciplinary academic backgrounds and demonstrated research experience in energy transition and decarbonisation will be preferred.

Skill Set

• Strong understanding of advanced and emerging climate technologies (CCUS, green hydrogen, PtX, RE, etc.)
• Familiarity with techno-economic assessment, life cycle assessment, emissions accounting, and systems analysis approaches
• Understanding of climate and energy policies, carbon markets, sustainability frameworks, and emerging global / net-zero policy trends
• Experience in data analysis, modelling, and visualisation using tools such as Python, Excel, or similar platforms
• Ability to synthesise technical findings into actionable policy and strategic insights
• Strong analytical, critical thinking, and problem-solving capabilities
• Excellent written and verbal communication skills, including technical writing and stakeholder engagement
• Proven ability to independently manage multiple projects while collaborating within interdisciplinary teams
• Experience working with government agencies, industry stakeholders, research institutions, or international organisations will be an advantage

Duration

24 months

We are looking for an AI Consultant to help CSTEP leverage artificial intelligence to strengthen its research, innovation, and impact across clean energy transition, clean air, and climate action and resilience. The role will work closely with leadership and research teams to identify opportunities for AI-enabled capabilities, develop strategies for applying AI to CSTEP’s work, and explore new ways of engaging with stakeholders. The Consultant will also help prioritise and guide the implementation of AI initiatives, including adoption, integration, and change management, to deliver measurable value and strengthen CSTEP’s position at the intersection of research, technology, and public policy.

Responsibilities

• Build leadership awareness of how artificial intelligence can create new capabilities and optimise existing ones across the organisation.
• Help teams identify new possibilities for engagement models, value propositions, and ways of working enabled by AI.
• Work with each sector and group to develop AI transformation strategies aligned with their research and organisational priorities.
• Identify and develop AI use cases with the potential to deliver measurable value and impact.
• Develop an implementation roadmap and guide the execution of plans for AI development, integration, adoption, and change management. 

Qualifications

Master's degree with a good track record (10+ years) in transformation and innovation with digital technologies, particularly artificial intelligence

Skill Set

• Strategic business acumen and a strong understanding of how AI can drive organisational transformation.
• Strong data and AI literacy, with an understanding of their foundational role in transformation.
• Excellent communication and stakeholder management skills.
• Strong interpersonal skills, with the ability to navigate challenges and influence outcomes.
• Strong problem-solving, creative thinking, and organisational change management skills.
• Awareness of clean energy, air quality, and climate technology domains, and AI-enabled use cases in these areas.
• Understanding of Responsible AI principles and their application to deliver tangible value and benefits.

Duration

11 months

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

We are looking for an Analyst with a keen interest in understanding India’s economic and climate future, and an aptitude for quantitative modelling and problem-solving. The candidate should have strong analytical and quantitative skills; an interest in macroeconomics and/or climate change; and basic experience in data analysis, modelling, or programming. The role will involve supporting the development and application of macroeconomic and macrofinancial models to assess the implications of India’s economic and climate transition. The candidate will contribute to quantitative analysis, interpretation of model results, scenario analysis, and ongoing modelling work. This role is particularly suited to someone who can approach unfamiliar problems systematically, ask the right questions, identify what is required, and work towards a solution.

Responsibilities

• Support the development and application of macroeconomic and macrofinancial models to assess economic, financial, and climate-transition scenarios for India.
• Conduct quantitative analysis, scenario development, and model-based assessments, and support the interpretation and validation of model results.
• Undertake research and policy analysis on macroeconomic, financial, and climate-related issues relevant to India’s transition.
• Collect, clean, analyse, and organise economic, financial, energy, and climate-related data, and support the development of model inputs, databases, and analytical tools.
• Work closely with senior researchers and engage with external stakeholders, particularly government bodies, financial institutions, and subject-matter experts, to understand requirements and incorporate feedback.
• Contribute to the preparation of reports, presentations, technical notes, policy briefs, and other project outputs.
• Support proposal development, including background research, technical inputs, and the preparation of concept notes and proposals.
• Work collaboratively with a multidisciplinary team and contribute to knowledge development and internal learning on macroeconomic, financial, and climate modelling.
• Participate in stakeholder consultations, workshops, expert meetings, and conferences, as required.

Qualifications

• Master’s degree in Economics, Finance, Mathematics, Statistics, Energy and Climate Change, Environmental Science, or a related discipline.
• A background or demonstrated interest in macroeconomics, macrofinancial systems, climate change, or economic modelling is desirable.

Skill Set

• Strong quantitative, analytical, and problem-solving skills, with the ability to break down complex problems systematically.
• Ability and willingness to learn new modelling approaches, tools, and concepts independently.
• Good understanding of economics and/or financial systems, with an interest in their interaction with climate change and the broader economy.
• Ability to conduct quantitative analysis, modelling, and scenario assessment using appropriate methodologies and tools.
• Familiarity with data analysis and visualisation is desirable.
• Strong research skills, including the ability to identify relevant literature and data, synthesise information, and draw meaningful insights.
• Strong written and verbal communication skills, with the ability to communicate technical concepts clearly to both technical and non-technical audiences.
• Ability to work effectively in multidisciplinary and cross-functional teams and engage constructively with external stakeholders.
• Ability to manage multiple priorities, troubleshoot problems, and deliver high-quality outputs within timelines.
• Willingness to travel, as required, for stakeholder consultations, workshops, conferences, and project activities.
• Prior exposure to macroeconomic modelling, system dynamics, stock-flow consistent modelling, or climate-economy modelling would be an advantage, but is not essential.

Duration

24 months