We are looking for an editor who will work closely with researchers, communication specialists, and designers within the Communication and Policy Engagement (CPE) team to ensure that high-quality research outputs are developed and published efficiently.

Responsibilities

• Edit and manage research outputs in collaboration with team members, ensuring clarity, accuracy, and alignment with organisational goals.
• Ensure that all editorial focus areas are addressed accurately, logically, comprehensively, and in a timely manner, while maintaining adherence to ethical standards, editorial integrity, and organisational policies.
• Support researchers in producing meaningful, high-quality content that resonates with both the organisation’s objectives and its target audiences.

Qualifications

Graduate or postgraduate degree in English or any STEM-related field 

Skill Set

• Strong understanding of editorial principles and best practices
• Skilled in structuring and shaping content for clarity and impact
• Exceptional writing, editing, and proofreading skills
• Familiarity with multiple style guides
• Excellent communication (written and verbal) and interpersonal abilities
• Strong analytical and critical thinking skills
• Highly organised and detail-oriented
• Capable of working independently and collaboratively within a team environment
• Ability to manage multiple tasks and meet tight deadlines
• Multimedia, digital storytelling, social media, and SEO skills are an added advantage 

We’re seeking a technically grounded and impact-driven professional to lead our climate risk analytics and modelling work, with a focus on Heat Mapping and Risk Analysis. The role calls for a blend of scientific rigour, spatial insight, and policy understanding, translating high-resolution climate and socio-economic data into actionable risk intelligence for national and city-level decision-makers.

Responsibilities

• Lead the design and implementation of national- and city-scale heat risk mapping and analysis frameworks, aligned with IPCC AR6 methodologies and tailored to India’s rapidly urbanising regions.
• Oversee climate data processing and analysis and develop compound and cascading risk models that integrate heat, flood, and drought interactions using statistical and machine learning approaches.
• Guide spatial analysis and GIS-based mapping of hazards, exposure, and vulnerability for integration into interactive dashboards and decision-support tools.
• Ensure scientific accuracy and policy relevance by providing technical oversight for data-driven visualisation platforms.
• Collaborate with national and state agencies to embed risk analytics into planning and policy decision-making processes.
• Develop research publications, policy briefs, and presentations that enhance CSTEP’s thought leadership in climate and disaster risk domains.
• Mentor analysts and senior analysts, contribute to proposal development and fundraising, and support capacity-building initiatives with government and civil society partners.

Qualifications

PhD or Master’s degree in Climate Science, Atmospheric Science, Environmental Engineering, Geography, or Geoinformatics, with specialisation in heat stress, urban climatology, or multi-hazard risk modelling

Skill Set

• Proven track record of working with interdisciplinary teams, publishing in peer-reviewed journals, and engaging with government or donor-led climate initiatives.
• Experience in urban heat island analysis, hazard–exposure–vulnerability assessments, or the development of climate service tools is preferred.
• Proficiency in data analytics and programming (Python, R, etc.) for statistical and spatial modelling; hands-on experience with QGIS/ArcGIS Pro and Power BI/Tableau.
• Strong familiarity with climate datasets (IMD, CMIP6, ERA5, MODIS, and CORDEX) and geospatial data processing workflows.
• Excellent analytical, mentoring, and communication skills.
• Ability to translate complex scientific evidence into actionable insights, strategies, and tools for policymakers.

We are seeking a GIS Analyst with expertise in GIS, programming, and remote sensing to conduct advanced spatial analyses and deliver high-quality insights that support research and inform policy.

Responsibilities

• Conduct in-depth spatial analyses to support project objectives and address complex research questions.
• Manage and process large, complex datasets using GIS software and platforms (e.g. Google Earth Engine, ArcGIS Pro, and QGIS).
• Design, implement, and refine research methodologies for GIS projects to ensure scientific rigour and reproducibility.
• Develop visually compelling maps, dashboards, and data visualisations for reports, presentations, and interactive applications.
• Collaborate with multidisciplinary teams of researchers and policy experts to integrate geospatial insights into broader research initiatives.
• Contribute to and co-author research reports, policy briefs, and peer-reviewed publications.
• Maintain precise documentation of data sources, methodologies, and analytical workflows.

Qualifications

• Master’s degree in Geography, GIS, Environmental Science, Data Science, or a related field with at least 2 years of relevant professional experience, OR a Bachelor’s degree with a minimum of 4 years of experience.
• Demonstrated experience in conducting spatial analyses and managing GIS projects from conception through completion.

Skill Set

• Strong expertise in Geographic Information Systems (GIS) concepts and tools.
• Proficiency in GIS software, including professional experience with Google Earth Engine (GEE) and advanced proficiency with ArcGIS Pro and/or QGIS.
• Proficiency in statistical analysis and programming tools such as Python (e.g. Pandas, GeoPandas, and Rasterio) and/or R for data manipulation, analysis, and automation.
• Proficiency in Geoserver.
• Excellent analytical and problem-solving skills with keen attention to detail.
• Exceptional writing skills for producing clear, compelling, and accurate research reports.
• Ability to work independently and collaboratively within a multidisciplinary team environment.
• Strong organisational and time management skills, with the ability to manage multiple tasks simultaneously.
• Working knowledge of Geo-AI and machine learning techniques is highly desirable.

We are seeking an individual specialising in Urban Adaptation, with strong strategic thinking skills and the ability to translate research into visual and spatial outputs, as part of the Adaptation and Risk Analysis Group. The role blends systems thinking, spatial analysis, and creative storytelling to transform research on heat and multi-hazard risks into actionable, design-informed adaptation strategies.

Responsibilities

• Support the team in data collection, collation, research, spatial analysis, and documentation related to urban heat and multi-hazard risks.
• Conduct literature reviews and map institutional frameworks, policies, and stakeholders driving urban resilience and adaptation planning.
• Co-develop and visualise nature-based and hybrid adaptation solutions, translating scientific evidence into spatial and design outputs.
• Create concept sketches, infographics, and visual narratives that communicate adaptation insights through tools, dashboards, and reports.
• Coordinate with ULBs, SDMAs, and ground partners during workshops and feasibility studies, contributing to design briefs and policy recommendations.

Qualifications

Bachelor’s or master’s degree in architecture, Urban Design, Landscape Architecture, Geography, or allied disciplines with a focus on urban resilience and adaptation.

Skill Set

• Exposure to projects involving nature-based solutions, risk-informed design, or urban visualisation is preferred.
• Familiarity with design and spatial tools such as AutoCAD, Illustrator, InDesign, SketchUp, and QGIS.
• Experience with data analysis tools and programming languages (e.g. R and Python) is an advantage.
• Strong visual storytelling and communication skills.
• Ability to work collaboratively in interdisciplinary teams, adapt to evolving project needs, and manage multiple priorities with attention to detail.

We are seeking an experienced Data Engineer to join our Artificial Intelligence and Digital Platforms team. The ideal candidate will bring strong technical expertise in building data pipelines and extracting valuable insights from complex datasets. The role involves developing, constructing, testing, and maintaining architectures that support data models and large-scale data-processing systems. This work will advance the organisation’s efforts in driving meaningful change across clean energy transitions, clean air initiatives, and climate action for a secure and sustainable society.

Responsibilities

• Designing, constructing, installing, testing, and maintaining highly scalable data management systems
• Ensuring systems meet business requirements and industry best practices
• Building high-performance, robust data pipelines
• Identifying opportunities for data acquisition and innovative uses of existing data
• Developing standard processes for data modelling, data mining, and pipeline development
• Integrating new data management technologies and software engineering tools into existing structures
• Collaborating with architects, researchers, and IT teams to achieve project goals
• Recommending strategies to improve data reliability, efficiency, and quality

Qualifications

Bachelor’s degree in computer science or a related field, with a keen interest in developing best-in-class data systems

Skill Set

• Proven experience in building end-to-end data pipelines for large-scale enterprise use cases and supporting machine learning model development
• Strong knowledge of database technologies (SQL and NoSQL), data modelling, and ETL processes
• Demonstrated ability to analyse requirements and translate them into effective data architectures and systems
• Proficiency in diagnosing and optimising database performance
• Excellent problem-solving and troubleshooting capabilities
• Strong communication skills, with the ability to engage effectively with both technical and non-technical stakeholders
• Interest in AI/ML and the aptitude to develop machine learning models
• Familiarity with spatial databases and GIS (preferred)