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 seeking a dynamic and technically skilled Analyst to join the Energy Policy and Regulations team. The Analyst will play a key role in evaluating distribution-system planning and operational developments in the power sector, with a strong focus on distribution load-flow analysis. The role involves assessing the impacts of emerging technologies at the distribution level and developing data-driven strategies and recommendations to support reliable and efficient DISCOM operations. This position offers a unique opportunity to contribute to policy-relevant research and help shape the future of India’s energy transition.

Responsibilities

• Undertake field visits to validate network databases and other technical parameters in coordination with the operational staff of DISCOM.
• Conduct network modelling and analytical studies on distribution network load flows to assess the impact of increasing Distributed Renewable Energy (DRE) integration, EV uptake, and rooftop solar deployment, including the sizing and siting of Battery Energy Storage Systems (BESS) at the feeder and Distribution Transformer (DT) levels.
• Track and analyse distribution-sector energy policies, regulations, and emerging technologies, leveraging data analytics to generate strategic insights and support informed decision-making.
• Evaluate state-level power system characteristics, including load curves, demand profiles, and network planning criteria, to contextualise distribution infrastructure upgradation needs.
• Collaborate with state and national stakeholders, including DISCOMs, regulators, policymakers, and industry partners, to promote actionable recommendations.
• Prepare policy briefs, technical reports, presentations, and journal articles to disseminate research findings to relevant audiences.
• Willingness to travel within India to engage with different states as per project requirements.

Qualifications

Bachelor’s or master's degree in Electrical Engineering, Energy & Power Systems, or a relevant field

Skill Set

• Experience with distribution network modelling and distribution grid simulation tools (e.g. DigSilent, CYMDIST, Python/R-based energy models, or any other).
• Strong understanding of DISCOM regulations, distribution network planning criteria, and demand forecasting practices in India.
• Well-versed in emerging technologies (EVs, rooftop solar, energy efficiency, and solarised agriculture pumps) that influence the evolving energy landscape.
• Strong analytical and research skills with proficiency in data analysis and deriving insights.
• Excellent communication and presentation skills, both written and verbal.

We are looking for an Analyst/Senior Analyst with a strong understanding of the technical and policy aspects of energy storage and its applications in the energy and power sector. The candidate should be able to meet project deliverables and timelines and coordinate and communicate effectively with internal and external teams to achieve project objectives.

Responsibilities

• Conduct research and analysis on energy storage and its applications in electricity distribution networks.
• Undertake research on the sizing and siting of energy storage in distribution networks.
• Undertake economic analysis in the energy and power sector, including energy storage, renewable energy, electric mobility, and electricity transmission and distribution, to support policy decisions.
• Conduct research on least-cost resource planning for different states, load flow, short-circuit, reliability, and contingency analysis for transmission and distribution networks.
• Conduct power-system modelling and simulation studies using appropriate software and tools.
• Develop financial and econometric models related to the energy and power sector.
• Compile energy market data and analyse market trends, including demand, supply, and price projections.
• Establish communication and coordinate with relevant stakeholders, including government, industry, and academia, for data and analysis related to the energy and power sector.
• Document and publish research findings through detailed reports, journals, conferences, op-eds, and newsletters.

Qualifications and Experience

MTech in Energy/Power or an equivalent degree in a related field; up to 6 years of relevant professional experience in energy and economic modelling and writing high-quality research reports, including white papers, journals, and policy briefs. Freshers are welcome to apply.

Skill Set

• Strong understanding of electricity distribution systems, renewable-energy integration, energy-storage applications, and emerging flexibility mechanisms such as virtual power plants (VPPs) is essential.
• Expertise in load-flow, short-circuit, reliability, and contingency analysis, as well as distribution network modelling for energy storage, using relevant power-system software is required.
• Experience in least-cost resource planning, power-system planning and simulation, power-flow analysis, forecasting, market penetration, cost-benefit and life-cycle cost analysis, and impact and consequence assessment in the power sector is desirable.
• Willingness to undertake technical and policy research in the energy domain and prepare medium- to long-term energy sector outlook reports for various states is expected.
• Experience working with generating companies, distribution utilities, renewable nodal agencies, regulatory commissions, ministries, and government bodies will be an advantage.
• Proficiency in Microsoft Office, particularly Word, PowerPoint, and Excel, is required.
• Strong written and oral communication skills, with good interpersonal skills and the ability to express concepts and ideas clearly, are essential.
• Ability to make effective and timely decisions and work effectively in a multi-functional team is expected.
• Willingness to travel frequently to collect necessary data and discuss study findings is required.
• Hands-on experience with power-system simulation and planning tools, particularly DIgSILENT PowerFactory, GridPath, PSCAD, and ETAP, will be preferred.
• Experience with optimisation tools or solvers used for mixed-integer linear programming (MILP)-based modelling is desirable.
• Competence in Python, R, SAS, Tableau, SPSS, or similar software and statistical tools for developing economic models and deriving results will be an advantage.

Duration

36 months