Environment Specialist

About the Fellowship

AWE (Air • Water • Earth) is seeking Environmental Research & Data Intelligence Fellows to investigate real environmental challenges, explore publicly available datasets, analyze sustainability disclosures, and transform complex information into actionable research. This is an opportunity to gain practical research experience and contribute to an emerging environmental intelligence initiative.

Key Responsibilities

• Environmental Research: Investigate air pollution, water quality, waste management, resource consumption, and sustainability challenges across India.
• Data Analysis: Explore government datasets, scientific publications, environmental monitoring data, and public reports to identify meaningful patterns.
• ESG & Sustainability Research: Study corporate sustainability reports, Business Responsibility and Sustainability Reports (BRSR), and environmental performance indicators.
• AI-Assisted Research: Use Gemini-powered tools and other digital resources to accelerate research, analyze documents, and organize findings.
• Evidence Verification: Cross-check claims, validate sources, and ensure research findings are accurate, transparent, and properly referenced.
• Research Reporting: Prepare concise research briefs, environmental explainers, comparative studies, and evidence-based reports.
• Cross-Functional Collaboration: Work with AWE's communications, technology, and community teams to translate research into public awareness initiatives.

Who Can Apply

Undergraduate and postgraduate students from disciplines including:

• Environmental Science & Sustainability
• Data Science & Statistics
• Geography & Earth Sciences
• Economics & Public Policy
• Engineering & Technology
• Other relevant academic backgrounds

Requirements & Skills

No prior professional experience is required. Applicants should demonstrate:

• Genuine curiosity about environmental challenges.
• Strong analytical and critical-thinking abilities.
• An interest in research, data, and evidence-based problem-solving.
• Clear written communication skills.
• Willingness to learn new digital and AI-powered research tools.
• Reliability, initiative, and the ability to work independently.

Familiarity with Excel, Google Sheets, data visualization, scientific research, or AI tools is an advantage, but not mandatory.

What You'll Gain

• Real-World Research Experience: Work on practical environmental questions using publicly available evidence and datasets.
• AI & Data Intelligence Exposure: Gain experience using modern AI-assisted research workflows, document analysis, and environmental data tools.
• Portfolio-Worthy Contributions: Develop research briefs, reports, and analytical work.
• Multidisciplinary Collaboration: Work alongside students and contributors from diverse backgrounds.
• Recognition & Professional Development: Receive a fellowship completion certificate.
• Founding Team Experience: Contribute during the early development of AWE.

Fellowship Structure

• This is a voluntary, unpaid, project-based fellowship.
• Commitment: 6–8 Hours per Week (Flexible).
• Duration: 12 Weeks.
• Location: Remote, India.