Data Engineer
We are seeking a talented data engineer to join our team. You will be instrumental in developing, constructing, testing, and maintaining architectures to support data models and large-scale data processing systems. Your work will support us in leveraging the power of data to drive meaningful change in clean energy transition, clear air, and climate action for a secure and sustainable society.
GIS Analyst
We are seeking a skilled and detail-oriented GIS Analyst to join our team. In this role, you will utilise geographic information systems (GIS) to analyse spatial and non-spatial information. You will be responsible for mapping data visualisation, conducting spatial analysis, and supporting the decision-making process in various projects.
The eARTh Climate Fellowship
The eARTh Climate Fellowship aims to facilitate the creation of climate art that will trigger behavioural change among citizens. Four fellows have been selected to work with mentors in the areas of
Intern
You will conduct research and analyse the role of AI in addressing societal needs, its economic implications, and impact on workforce, as well as study the ethical and social considerations and policies/regulations surrounding AI. You will be working in the AI/ML group of the Digital Transformation domain, which works on combining the power of data, AI/ML, and digital technologies to enable clean energy transition, clean air, and climate action for a secure and sustainable society.
Cost-Benefit Analysis (Nature-Based Solutions) Consultant
The Consultant will be involved in a short-term project that aims to assess the relevance of cost-benefit analysis in prioritising nature-based solutions for coastal adaptation. This work will be in the climate change adaptation domain within the Climate, Environment, and Sustainability sector.
Responsibilities
Application of an Ultra-Low-Cost Passive Sampler for Light-Absorbing Carbon in Mongolia
Low-cost, long-term measures of air pollution concentrations are often needed for epidemiological studies and policy analyses of household air pollution. The Washington passive sampler (WPS), an ultra-low-cost method for measuring the long-term average levels of light-absorbing carbon (LAC) air pollution, uses digital images to measure the changes in the reflectance of a passively exposed paper filter. A prior publication on WPS reported high precision and reproducibility.
The advantages of Behind-the-Meter Energy Storage with rooftop photovoltaics
In early September, India's peak daytime electricity demand stood at 241 GW, a record high. The solar market in India plays a crucial role in meeting this ever-increasing demand, especially the rooftop photovoltaic sector which has enormous untapped potential. The Government of India aims to have 40 GW of rooftop photovoltaics (RTPV) installed capacity by March 2026.
Policy Matters [July-September 2023]
Read our quarterly newsletter featuring CSTEP commentary, publications, events, and other developments
Viewing India’s Net-Zero Ambition Through the Lens of Polysilicon
As India dons the role of a solar superpower, a crucial hurdle in the country’s journey to self-reliance in this sector is the availability of the key raw material—polysilicon. It is a semiconductor that helps convert photons to electricity, thereby forming the brick of solar cells. The production of polysilicon—an energy-intensive material—requires copious amounts of high-quality silicon. While silicon is abundantly found in India and the rest of the world, competition for the mineral is extremely high.
Long-term trend of PM2.5 over five Indian megacities using a new statistical approach
PM2.5 is one of the major contributors to air pollution in India, resulting in poor air quality and human health issues. The current study explores the applicability of TTAinterfaceTrendAnalysis (an ‘R’ language-based Graphical User Interface package) in estimating the annual and month-wise trends in PM2.5 over five Indian megacities (New Delhi, Kolkata, Mumbai, Hyderabad, and Chennai). The package offers a one-stop solution for various statistical analyses such as data imputation, outlier detection, trend analysis, data smoothing, diagnostic tests, etc.