Principal Research Officer - Emissions Management (Unpaid Volunteer)

About the role

The Digital Technology Institute for Development (DTID) is seeking an experienced Principal Research Officer for Emissions Management as an unpaid volunteer. Working within Research Division II - Energy & Environment, the role provides specialist research expertise and technical leadership in greenhouse gas emissions measurement, monitoring, reporting, verification and management. It is home-based and remote, reporting to the Deputy Director of Research.

Key responsibilities

• Lead and coordinate research on greenhouse gas emissions measurement, monitoring, reporting, verification and management.
• Evaluate international emissions-management frameworks, methodologies, standards and regulatory developments.
• Analyse emissions data, carbon accounting methodologies, decarbonisation strategies and sector-specific approaches.
• Investigate the use of AI, blockchain, IoT and other digital technologies for emissions monitoring and reporting.
• Develop research proposals, concept notes, policy briefs, technical reports and publications.
• Evaluate the effectiveness of existing policies, technologies and regulations and propose improvements.
• Provide technical guidance to Research Officers and collaborate with other DTID teams on carbon markets, climate finance and energy transition.
• Present findings at webinars, conferences and technical meetings.

Required profile

• Master's degree or equivalent postgraduate qualification in a relevant field; a PhD is advantageous.
• Strong knowledge of greenhouse gas MRV, carbon accounting, emissions reporting and decarbonisation pathways.
• Advantageous: GHG Protocol, ISO 14064/14067/14065, IPCC guidelines, UNFCCC and Paris Agreement knowledge.
• Proficiency in English; knowledge of an additional international language is mentioned but cut off.

Required skills

• Advanced knowledge of greenhouse gas emissions measurement and management.
• Independent research capability and strong analytical, quantitative and scientific skills.
• Ability to interpret complex datasets and communicate technical findings to policymakers and non-specialists.
• Microsoft Office and research or data-analysis tools.