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Intern

We are seeking a motivated and detail-oriented Intern to support field data collection activities for the preparation of Detailed Project Reports (DPRs) under the Model Solar Village initiative for the Uttar Pradesh New and Renewable Energy Development Agency (UPNEDA). The position is within CSTEP's Renewables team and will involve conducting field surveys, engaging with local stakeholders, collecting and validating project-related data, and assisting technical teams in documentation and analysis. The ideal candidate should be comfortable with fieldwork, willing to travel locally, and capable of coordinating effectively with project teams to ensure timely and high-quality project deliverables.


Interns from the following locations would be preferred: Auraiya, Azamgarh, Balrampur, Banda, Chitrakoot, Farrukhabad, Fatehpur, Gonda, Hamirpur, Jalaun, Kannauj, Kaushambi, Mainpuri, Pratapgarh, Raebareli, Shravasti, Amethi, Badaun, Etah, and Bhadohi


Responsibilities


  • Conduct ground surveys in assigned villages and project locations
  • Collect field data related to electricity consumption, rooftop suitability, and energy infrastructure
  • Interact with households, local businesses, and other stakeholders
  • Record survey data in structured MS Excel formats
  • Ensure completeness, consistency, and quality of collected data
  • Support the project team in DPR preparation through field inputs
  • Assist in data cleaning, validation, and documentation
  • Support project reporting requirements by compiling and organising field data and related documentation
  • Coordinate with UPNEDA and other government officials as and when needed


Qualifications


Diploma/Polytechnic students (Electrical, Electronics, or related branches) and final-year BE / BTech students


Skill Set


  • Knowledge of electrical engineering concepts and solar energy systems
  • Basic proficiency in MS Excel (data entry, formatting, and basic formulas)
  • Working knowledge of MS Word for documentation and reporting
  • Good communication and interpersonal skills for stakeholder interactions
  • Strong attention to detail with a focus on data accuracy and quality
  • Ability to work collaboratively in a team environment and adhere to project timelines


Note: Preference will be given to candidates who possess a laptop and a two-wheeler.


Duration


1–6 months

Job

Analyst

We are seeking an Analyst for the Renewables team with a strong understanding of the technical and policy aspects of the renewable energy (RE) sector, as well as functional expertise in GIS techniques and applications. The role requires the candidate to contribute effectively to project proposals and deliverables, manage assigned responsibilities in line with project schedules, and support the achievement of project objectives. The candidate should possess strong coordination and communication skills and be able to collaborate productively with internal and external stakeholders to ensure timely, high-quality project delivery.


Responsibilities


  • Explore and analyse emerging developments, technologies, and trends in the RE sector at the state, national, and international levels.
  • Work at the intersection of RE and GIS, identifying innovative applications of geospatial tools and techniques to strengthen decision-making and policy formulation in the sector.
  • Conduct research and analytical studies on RE policies, regulations, and market developments to generate actionable insights and policy inputs.
  • Develop concept notes, project ideas, and proposals on high-impact, socially relevant themes in the RE sector.
  • Undertake research, data analysis, and modelling to build a strong knowledge base on sector performance, technology transitions, emerging business models, and evolving market dynamics.
  • Apply knowledge of tariff determination, regulatory reforms, financial modelling, retail tariff design, market assessment, open access, energy auditing, and ACS–ARR analysis.
  • Coordinate and engage with key sector stakeholders, including utility companies, regulators, funding agencies, government bodies, and research institutions.
  • Document and disseminate research findings through detailed reports, journal and conference publications, op-eds, and newsletters.


Qualifications


  • Master’s degree or equivalent in Engineering, Business, or a related field.
  • 0–2 years of relevant professional experience in policy and economic analysis and GIS applications related to the RE sector.


Skill Set


  • Demonstrated expertise in conducting GIS-based studies and analyses, including cost-benefit analysis, life-cycle assessment, impact assessment, forecasting, market penetration studies, and consequence analysis.
  • Ability to develop medium- to long-term RE sector outlooks for different states.
  • Strong interest and willingness to undertake technical and policy research in the RE sector.
  • Experience engaging with regulatory commissions, DISCOMs, transmission utilities, RE nodal agencies, solar system integrators and developers, ministries, and other government bodies.
  • Basic understanding of Power Purchase Agreements (PPAs), electricity market design, Deviation Settlement Mechanism (DSM), demand response, and open access frameworks.
  • Proficiency in software and statistical tools such as MS Excel and Tableau for developing economic and business models; knowledge of Python, R, or SAS would be an added advantage.
  • Proficiency in GIS tools and platforms, including ArcGIS and QGIS.
  • Proven ability to assess RE sector operations and develop innovative alternatives and approaches to problem-solving.
  • Strong listening, communication, and presentation skills, with the ability to build support for ideas and recommendations.
  • Willingness to travel for data collection, stakeholder consultations, and discussions on study findings.
  • Strong research and technical writing skills, with experience producing high-quality reports, white papers, journal articles, policy briefs, and other research publications.
  • Ability to make effective, evidence-based, and timely decisions.


Duration


24 months