Opportunity Title : The Faraday Institution Battery Data and AI Programme 2026 (Up to £100,000 Funding)

Successful applicants will receive several valuable benefits, including:

• Funding of approximately £100,000 for each selected sprint project.
• A share of the programme's total funding budget of up to £400,000.
• Six months of financial support for research activities.
• Project commencement from 1 October 2026.
• Opportunity to develop innovative AI and machine learning solutions for battery science.
• Support for improving battery data management and standardisation.
• Collaboration opportunities with leading UK battery researchers and institutions.
• Increased visibility within the UK battery research and innovation ecosystem.
• Contribution to future battery technologies and sustainable energy solutions.
• Opportunity to build long-term research partnerships across academia and industry.

Summary:

• Programme: The Faraday Institution Battery Data and AI Programme 2026
• Funding Available: Up to £400,000 across all sprint projects
• Typical Grant per Project: Approximately £100,000
• Project Duration: 6 months
• Project Start Date: 1 October 2026

Interested applicants should click on the official application link provided by The Faraday Institution and complete the online application process. Ensure that your proposal satisfies the UKRI eligibility requirements and clearly outlines the project's objectives, expected impact, collaboration plans, and how it will improve battery data management or AI applications in battery research.

Apply for the Faraday Institution Battery Data and AI Programme 2026 and secure up to £100,000 to support innovative battery research using AI and data science.

To be eligible for the Faraday Institution Battery Data and AI Programme 2026, applicants must satisfy the UK Research and Innovation (UKRI) eligibility criteria.

Applicants should include:

• A lead applicant who meets UKRI eligibility requirements.
• A lead research organisation eligible under UKRI rules.
• Researchers with expertise in battery science.
• Specialists in data management and data engineering.
• Artificial intelligence and machine learning experts.
• Researchers experienced in innovation and interdisciplinary collaboration.

Applicants are encouraged to assemble multidisciplinary teams capable of delivering impactful research outcomes.

View details at  The Faraday Institution - Battery Data and AI Programme