Deadline: 16-Sep-2026
The Doctoral Focal Awards in Data-Intensive Sciences are funded by the Science and Technology Facilities Council (STFC) to strengthen doctoral training in advanced data research.
The programme builds on previous STFC investments in data-intensive science education and aims to prepare doctoral researchers for careers in:
- Academic research
- Industrial innovation
- Data-driven technology development
- Government and public sector applications
The awards support research projects that combine data expertise with scientific challenges requiring advanced computational methods.
Main Purpose of the Funding Opportunity
The funding opportunity focuses on developing researchers who can manage, analyse, and interpret increasingly complex datasets generated by modern scientific research.
The programme supports work involving:
- Large-scale data management
- High-volume data processing
- Advanced analytics
- Data visualisation
- Artificial intelligence and machine learning
- Novel computational methodologies
- Intelligent and autonomous systems
- Data-driven tools and technologies
The goal is to create researchers capable of transforming complex data into meaningful scientific and practical outcomes.
Key Research Areas Supported
Projects must combine data-intensive science expertise with research areas covered by the STFC remit.
Supported scientific fields include:
- Astronomy
- Accelerator physics
- Solar and planetary science
- Particle physics
- Particle astrophysics
- Cosmology
- Nuclear physics
Research should demonstrate how advanced data methods can improve discovery, analysis, modelling, or decision-making within these fields.
Core Research Themes
Data Management and Large-Scale Data Processing
Projects may focus on managing and processing large and complex datasets generated by scientific experiments and facilities.
Research areas include:
- Data storage strategies
- Data organisation and accessibility
- High-performance computing approaches
- Data pipeline development
- Real-time data processing
- Handling high-volume data streams
Data Analysis and Interpretation
The programme supports the development of advanced methods for extracting insights from complex datasets.
Examples include:
- Statistical modelling
- Machine learning techniques
- Artificial intelligence approaches
- Pattern recognition
- Predictive analytics
- Automated scientific discovery
Data Visualisation and Communication
Projects may develop new ways to represent and understand complex scientific information.
Potential areas include:
- Interactive visualisation tools
- Scientific dashboards
- Three-dimensional data representation
- Real-time data interpretation systems
Development of New Data Technologies
Research should contribute to the creation of innovative tools, methodologies, or technologies.
Examples include:
- Data analysis platforms
- Computational frameworks
- AI-driven research tools
- Intelligent software systems
- Automated decision-support technologies
Intelligent and Autonomous Systems
Projects may explore data management and analysis approaches for intelligent systems where aligned with STFC’s research remit.
Possible areas include:
- Autonomous scientific instruments
- AI-supported research systems
- Automated data interpretation
- Intelligent monitoring technologies
Cross-Sector and Industrial Applications
A key requirement of the programme is demonstrating how data-intensive research can be applied beyond traditional scientific environments.
Projects should show potential applications in:
- Industry
- Government
- Technology sectors
- Healthcare
- Engineering
- Commercial research environments
The objective is to transfer advanced scientific data skills into broader economic and societal contexts.
Expected Research Outcomes
Successful projects should contribute to:
- Advanced data science skills development
- New computational methods and technologies
- Improved scientific data analysis capabilities
- Industry-ready research expertise
- Stronger links between academia and external partners
- Improved use of data-intensive approaches across sectors
Role of the Science and Technology Facilities Council (STFC)
The Science and Technology Facilities Council (STFC) supports research and training in areas including:
- Astronomy
- Particle physics
- Nuclear physics
- Accelerator science
- Space science
- Computational research
Through these awards, STFC aims to develop researchers who can address future challenges involving rapidly increasing volumes of scientific data.
Funding Details
Key funding information includes:
- Total funding available: £10.5 million
- Maximum award value: £2.1 million
- Funding type: Doctoral focal awards
- Research level: Doctoral training and research
Funding will support doctoral research programmes focused on developing advanced data-intensive science capabilities.
Who Is Eligible?
Eligibility requirements follow the UK Research and Innovation (UKRI) Funding Service guidance.
Applicants should review the official eligibility rules for specific details on:
- Eligible organisations
- Required roles
- Applicant responsibilities
- Partnership requirements
The funding opportunity introduces new role types under the UKRI Funding Service, and applicants must ensure they meet the updated requirements.
Requirements for Research Centres and Partnerships
STFC facilities cannot independently host a Doctoral Focal Award centre.
However, STFC facilities may participate as collaborative partners where appropriate.
Applicants are expected to establish strong partnerships involving:
- Academic institutions
- Research organisations
- Industrial partners
- Project collaborators
Industry Engagement Requirements
Industrial involvement is an important component of the programme.
Applicants should demonstrate:
- Active support from industrial partners
- Continued engagement throughout the award period
- Industry representation on the management board
Financial contributions from industry are not mandatory.
However, industry participation should demonstrate practical relevance and opportunities for applying research outcomes outside academia.
How the Doctoral Focal Awards Work
The funding process supports doctoral training centres or programmes that develop researchers through advanced data-focused projects.
The typical process includes:
Step 1: Develop a Data-Intensive Research Proposal
Applicants should define:
- Research objectives
- Scientific challenge
- Data requirements
- Methodological approach
- Training plans
- Industrial engagement strategy
The proposal should clearly demonstrate the connection between data science and STFC-supported research areas.
Step 2: Establish Research and Industry Partnerships
Applicants should identify suitable collaborators.
Partnerships may include:
- Universities
- STFC facilities
- Research organisations
- Technology companies
- Industrial stakeholders
- Government bodies
Step 3: Demonstrate Training Impact
Projects should explain how doctoral researchers will gain:
- Advanced computational skills
- Data analysis expertise
- Research leadership abilities
- Transferable industry skills
Step 4: Submit Through the UKRI Funding Service
Applicants must submit proposals according to UKRI application requirements.
Applications are assessed based on:
- Research excellence
- Training quality
- Data science innovation
- Partnership strength
- Expected impact
Common Mistakes Applicants Should Avoid
Applicants should avoid:
- Proposals focused only on scientific research without strong data innovation
- Weak connections between STFC science areas and data methods
- Limited industry engagement plans
- Unclear doctoral training outcomes
- Lack of explanation about long-term research impact
- Insufficient collaboration strategies
Tips for a Strong Application
Applicants can strengthen proposals by:
- Clearly explaining the data challenges being addressed
- Demonstrating innovation in computational methods
- Including multidisciplinary expertise
- Building strong academic and industrial partnerships
- Explaining how researchers will apply skills beyond academia
- Showing alignment with STFC and UKRI data-intensive science priorities
Frequently Asked Questions (FAQ)
What are the Doctoral Focal Awards in Data-Intensive Sciences?
The Doctoral Focal Awards in Data-Intensive Sciences are STFC-funded doctoral research awards designed to develop advanced data science skills for scientific, industrial, and government applications.
What research areas are supported?
The awards support data-intensive research connected to STFC areas including astronomy, accelerator physics, solar and planetary science, particle physics, particle astrophysics, cosmology, and nuclear physics.
How much funding is available?
The total funding available is £10.5 million, with a maximum individual award value of £2.1 million.
Can STFC facilities host award centres independently?
No. STFC facilities cannot independently host doctoral focal award centres but can participate as collaborative partners.
Is industry funding required?
No. Financial contributions from industry are not mandatory. However, active industrial engagement and representation on management boards are expected.
What skills will doctoral researchers develop?
Researchers will develop skills in:
- Data management
- Artificial intelligence
- Machine learning
- Computational methods
- Data analysis
- Scientific interpretation
- Cross-sector application of data technologies
Why is industry involvement important?
Industry engagement helps ensure that doctoral research creates practical applications and prepares researchers for careers beyond academia.
Conclusion
The Doctoral Focal Awards in Data-Intensive Sciences provide significant support for developing advanced data research skills that address modern scientific and industrial challenges.
By combining expertise in data science with STFC research areas, the programme aims to train researchers who can manage complex datasets, develop innovative technologies, and apply data-driven solutions across academia, industry, and society.
For more information, visit UKRI.