The Faraday Institution - Battery Data and AI Programme 2026 (With Up to £100,000 in Funding)

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About The Faraday Institution - Battery Data and AI Programme

The Faraday Institution is inviting research proposals for Battery Data and AI Sprint Projects designed to strengthen battery research through improved data management, standardisation, and artificial intelligence applications.

The programme focuses on creating more consistent battery data and metadata practices across Faraday Institution research programmes. It aims to support researchers in developing AI-based approaches that can accelerate battery science, innovation, and technology development.

• Sponsor Organisation: The Faraday Institution

Benefits of The Faraday Institution - Battery Data and AI Programme

• Funding available: Up to £0.4 million for sprint projects of around £100k and a duration of 6 months, starting 1st October 2026.

The Faraday Institution - Battery Data and AI Programme Requirements

Applicants must meet UK Research and Innovation (UKRI) eligibility requirements.

Eligible applicants must include:

• A lead applicant who satisfies UKRI eligibility rules.
• A lead research organisation that meets UKRI requirements.

Projects should involve researchers with expertise relevant to:

• Battery science.
• Data management.
• Artificial intelligence.
• Machine learning.
• Research innovation.

Research Collaboration Requirements

Applicants are encouraged to work across the battery innovation ecosystem.

Projects should support collaboration between:

• Universities.
• Research organisations.
• Industry partners.
• Battery technology stakeholders.

Applicants should demonstrate how their work contributes to wider battery research advancement.

Application Date and Process

• Click on the link to the application website to apply.

Application Deadline

21 August, 2026

Opportunity Application

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