For this post, we are seeking candidates with expertise in weather/chemistry transport modelling, and satellite data analysis and visualisation. The applicant must have experience working with the Weather Research and Forecasting model with Chemistry (WRF-Chem) and/or the Comprehensive Air Quality Model with Extensions (CAMx) on High-Performance Computing (HPC) platforms. She/he should also have experience working with satellite datasets (e.g. MODIS and TROPOMI) and should be proficient in high-level programming languages for data processing.

The Senior Associate will work on WRF-CAMx and/or WRF-Chem or equivalent modelling systems to perform model inter-comparison and validation using satellite/ground-based measurements, make adjustments to the model setup to improve model performance, and assist in preparing model inputs for use in reduced-complexity model(s).

Responsibilities

•  Develop, configure, and optimise regional-scale chemical transport models (e.g. WRF-Chem and WRF-CAMx) on HPCs.
• Analyse and validate model outputs against ground-based and satellite measurements.
• Create data visualisations and effectively communicate findings to both technical and non-technical audiences.
• Generate new ideas leading to project proposals and contribute to/lead project reports/journal articles/Op-Eds, etc.
• Participate in relevant conferences and workshops, as required.

Qualifications

• PhD in a discipline related to air pollution, atmospheric chemistry, meteorology, or equivalent.
• Should have studied chemistry/atmospheric chemistry and meteorology as part of the Master’s degree/PhD coursework.
• Minimum two years of research experience in WRF-Chem, CAMx and/or any chemical transport model during PhD.

Skills set

• Experience with CTMs: Hands-on experience with WRF-Chem/WRF-CAMx, or similar CTMs.
• Data Analysis Skills: Ability to analyse model outputs and validate them with measurement data using statistical methods
• Programming Skills: Proficiency in Python for data analysis and visualisation, shell scripting for running models, FORTRAN to debug model code.
• High-Performance Computing: Familiarity with Linux/Unix and running CTM simulations on HPC systems.
• Ability to handle large volume of datasets (NetCDF, HDF, GRIB, ASCII, geo-referenced data).
• Should have published peer-reviewed journal articles in international journals.
• Excellent written and verbal communication skills for presenting findings, writing reports/journal articles, and contributing to proposals.

We are seeking a technically skilled Analyst to join our Energy Policy and Regulations team. The role focuses on distribution-system planning and operations, particularly load-flow analysis and involves assessing the impact of emerging technologies at the sub-distribution level. The Analyst will develop data-driven insights to support reliable DISCOM operations while contributing to policy-relevant research on India’s energy transition. The position also requires a strong understanding of the Indian power sector, along with the ability to manage project deliverables and communicate findings effectively with internal and external stakeholders.

Responsibilities

• Lead research on distribution network load flows to assess impacts of DRE integration, EV uptake, rooftop solar, and optimal sizing/siting of BESS at feeder and DT levels.
• Track and analyse policies, regulations, and emerging technologies in the distribution sector to generate data-driven insights for decision-making.
• Evaluate state-level power system characteristics, including load curves and planning criteria, to inform infrastructure upgrade needs.
• Collaborate with state and national stakeholders to develop and advance actionable recommendations.
• Produce policy briefs, technical reports, presentations, and journal articles to communicate findings.
• Travel across India, as required, to support stakeholder engagement and project execution.

Qualifications

Bachelor’s or Master's degree in a relevant field, such as Electrical and Electronics Engineering and Energy and Power Systems.

Skill Set

• Experience with distribution network modelling and simulation tools (e.g. DIgSILENT and Python/R-based energy models) or transmission planning studies.
• Strong understanding of DISCOM regulations, distribution planning criteria, and demand forecasting practices in India.
• Familiarity with emerging technologies such as EVs, rooftop solar, energy efficiency, and solarised agricultural pumps.
• Strong analytical and research skills, with proficiency in data analysis and the ability to interpret complex policy and regulatory documents.
• Excellent written and verbal communication, along with strong presentation skills.

We are looking for a Senior Analyst to join the Renewables team at CSTEP. The ideal candidate should have strong expertise in the technical, analytical, and research-oriented aspects of the renewable energy (RE) sector, with a particular focus on solar photovoltaics, performance analysis, and techno-economic assessments. The candidate should demonstrate experience in advanced modelling, research publications, and project execution, and be capable of contributing to high-impact research, policy inputs, and stakeholder engagement.

The role requires the ability to independently manage research assignments, mentor junior team members, and deliver high-quality outputs aligned with organisational objectives.

Responsibilities

• Lead and contribute to advanced research on renewable energy technologies, with a focus on solar PV systems.
• Conduct techno-economic assessments of RE systems, including modelling, simulation, and performance evaluation using tools such as PVSyst and HOMER.
• Undertake analytical studies on system performance, degradation mechanisms, and optimisation strategies under varying climatic conditions.
• Develop high-quality research outputs, including technical reports, policy briefs, journal publications, and conference papers for national and international platforms.
• Contribute to proposal development, concept notes, and new project ideas aligned with emerging RE trends and national priorities.
• Engage with stakeholders, including government agencies, DISCOMs, research institutions, and industry partners, for data collection, validation, and dissemination of findings.
• Support capacity-building initiatives, training programmes, and technical workshops for sector stakeholders.
• Mentor team members in research methodologies, modelling approaches, and technical writing.
• Stay updated on global advancements in renewable energy technologies, particularly solar PV, hybrid systems, and emerging applications.

Qualifications

PhD in Renewable Energy / Energy Systems or a related field or Master’s degree in a relevant discipline

Skill Set

• Strong academic and research background in renewable energy, with demonstrated publications in reputed journals and conferences.
• Experience in renewable energy research, modelling, and analysis, with a focus on solar PV performance assessment and system optimisation.
• Expertise in techno-economic modelling and simulation of renewable energy systems.
• Strong analytical skills, with the ability to interpret complex datasets and derive actionable insights.
• Experience in developing high-quality research papers, technical reports, and other knowledge products.
• Proficiency in tools such as PVSyst, HOMER, MS Excel, and PowerPoint; programming skills in Python for data analysis and modelling are required.
• Experience in stakeholder engagement, training delivery, or collaboration with government agencies, academic institutions, and industry partners is preferred.
• Excellent technical writing, communication, and presentation skills.
• Ability to work independently and collaboratively within multidisciplinary teams.
• Strong organisational skills with the ability to manage multiple tasks and deliver high-quality outputs within timelines.
• Willingness to travel for field studies, stakeholder consultations, and project-related activities.

Duration

3 years