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 a Senior Associate with a strong understanding of both the technical and policy dimensions of energy storage and its applications in the energy and power sector. The ideal candidate will be responsible for delivering high-quality outputs within project timelines, while effectively coordinating and communicating with internal and external stakeholders to achieve project objectives.

Responsibilities

• Conduct research on energy storage technologies and their applications in the energy and power sector.
• Undertake technical analyses related to the sizing and siting of energy storage systems in distribution networks.
• Perform techno-economic assessments of energy storage, renewable energy, electric mobility, and electricity transmission and distribution systems to support policy and planning decisions.
• Contribute to least-cost resource planning studies for states, including load flow, short-circuit, reliability, and contingency analyses across transmission and distribution networks.
• Develop financial, economic, and econometric models relevant to the energy and power sector.
• Compile and analyse energy market data, including demand, supply, and price trends and projections.
• Engage with stakeholders across government, industry, and academia to support data collection, analysis, and project implementation.
• Document and disseminate research findings through reports, journal publications, conference papers, policy briefs, op-eds, and newsletters.

Qualifications

• MTech in Energy, Power Systems, or a related field, with 5–6 years of relevant professional experience in power systems and energy modelling.
• PhD in Energy, Power Systems, or a related field is desirable.

Skill Set

• Demonstrated experience in preparing high-quality research outputs, including white papers, journal articles, policy briefs, technical reports, and other publications
• Expertise in conducting load-flow, short-circuit, reliability, and contingency analyses using relevant power system software
• Strong experience in distribution network modelling and the integration of energy storage systems
• Proven capability in least-cost resource planning, power flow analysis, power electronics, cost–benefit and life cycle cost assessments, forecasting, market penetration studies, and impact analyses in the energy sector
• Experience in preparing medium- to long-term energy sector outlooks and planning studies for states and utilities
• A strong interest in undertaking technical and policy research in the energy and power sector
• Experience working with generation companies, distribution utilities, renewable energy agencies, regulatory commissions, ministries, and government bodies
• Proficiency in Microsoft Office applications, including Word, PowerPoint, and Excel, is expected
• Strong written and verbal communication skills, with the ability to clearly articulate technical concepts to diverse audiences
• Ability to work effectively in multidisciplinary and cross-functional teams
• Willingness to travel as required for stakeholder consultations, data collection, and dissemination of research findings
• Strong analytical, problem-solving, and decision-making abilities, along with the capacity to manage multiple priorities effectively
• Experience with software tools such as DIgSILENT PowerFactory, PSS®E, GridPath, and analytical tools including Python, R, SAS, Tableau, or SPSS will be an advantage
• Familiarity with power system planning and optimisation tools will be preferred