Site icon fundsforNGOs

Apply for Doctoral Focal Awards in Data-Intensive Sciences (UK)

Biochemical Society’s Diversity in Science Grants

Deadline: 16-Sep-2026

The Doctoral Focal Awards in Data-Intensive Sciences is a funding opportunity from the Science and Technology Facilities Council (STFC) to support doctoral research and training in advanced data-intensive sciences. With a total programme budget of £10.5 million, the initiative funds projects that combine cutting-edge data science with STFC research areas while promoting collaboration with industry and wider sectors.

About the Doctoral Focal Awards in Data-Intensive Sciences

The Doctoral Focal Awards in Data-Intensive Sciences is designed to strengthen doctoral training by equipping researchers with advanced data science skills that can be applied in both academic research and industry.

The programme builds on STFC’s previous investments in data-intensive sciences and supports original doctoral research that combines expertise in data science with scientific disciplines funded under the STFC remit. Projects should also demonstrate how this expertise can be applied to industry, government, or other sectors beyond traditional academic research.

Programme Objectives

The programme aims to:

  • Develop advanced data-intensive science skills.
  • Support innovative doctoral research.
  • Strengthen collaboration between academia and industry.
  • Advance research involving large and complex datasets.
  • Develop practical data tools and methodologies.
  • Encourage interdisciplinary research.
  • Improve the application of scientific data expertise across different sectors.
  • Prepare highly skilled researchers for careers in academia, industry, and government.

Priority Research Areas

The programme supports research involving:

  • Data management.
  • Big data analytics.
  • Data visualization.
  • Data interpretation.
  • High-volume and high-speed data processing.
  • Machine learning methodologies.
  • Artificial intelligence applications.
  • Novel analytical techniques.
  • Data tools and technologies.
  • Intelligent and autonomous systems aligned with the STFC remit.

Supported Scientific Disciplines

Projects should combine data-intensive science with one or more STFC research areas, including:

  • Astronomy.
  • Accelerator Physics.
  • Solar Physics.
  • Planetary Science.
  • Particle Physics.
  • Particle Astrophysics.
  • Cosmology.
  • Nuclear Physics.

Applicants should also demonstrate how their research can benefit another sector or industrial application.

Funding Information

The programme provides:

  • Total programme budget: £10.5 million.
  • Maximum award value: £2.1 million.
  • Funding to support doctoral focal award centres and doctoral research activities.

Research Expectations

Supported projects should:

  • Deliver original doctoral research.
  • Develop innovative data-intensive methodologies.
  • Create practical tools and technologies.
  • Demonstrate industrial or cross-sector applications.
  • Strengthen links with existing STFC and UK Research and Innovation (UKRI) investments where appropriate.
  • Promote collaboration between academic researchers and industry partners.

Who is Eligible?

Applicants must satisfy the eligibility requirements established by UK Research and Innovation (UKRI) for the new UKRI Funding Service.

Key eligibility considerations include:

  • Eligible organisations under UKRI funding rules.
  • Applicants meeting the relevant UKRI role eligibility requirements.
  • Research projects aligned with the STFC remit.
  • Collaboration with appropriate academic and industrial partners.

Note: STFC facilities cannot independently host a Doctoral Focal Award Centre but may participate as collaborative partners.

Industry Collaboration Requirements

Active industry engagement is an important component of the programme.

Applicants are expected to:

  • Secure participation from industrial partners.
  • Maintain ongoing collaboration throughout the project.
  • Include industrial representatives on the programme management board.
  • Demonstrate meaningful industry engagement.

Although financial contributions from industry are encouraged, they are not mandatory.

Why This Funding Matters

Modern scientific research increasingly depends on advanced data science capabilities.

This programme helps:

  • Train the next generation of data scientists.
  • Strengthen UK research capacity.
  • Accelerate scientific discovery through advanced analytics.
  • Encourage knowledge transfer between academia and industry.
  • Support innovation across multiple scientific disciplines.
  • Improve the practical application of research outcomes.

How to Apply

Applicants should follow these steps:

  1. Review the STFC funding opportunity and UKRI eligibility guidance.
  2. Develop a doctoral training and research programme aligned with STFC priorities.
  3. Build collaborations with academic institutions and industrial partners.
  4. Demonstrate how the research combines data-intensive science with an STFC research discipline.
  5. Show the potential application of the research in industry or another sector.
  6. Prepare the required proposal through the UKRI Funding Service.
  7. Submit the application before the published deadline.

Selection Criteria

Applications are expected to be assessed based on:

  • Scientific excellence.
  • Quality of doctoral training.
  • Innovation in data-intensive sciences.
  • Alignment with STFC research priorities.
  • Strength of industrial collaboration.
  • Cross-sector impact.
  • Research methodology.
  • Management and governance.
  • Long-term research and skills development.

Tips for a Strong Application

  • Build a strong multidisciplinary research team.
  • Demonstrate clear links between data science and the chosen scientific discipline.
  • Include meaningful industrial engagement from the beginning.
  • Explain how the research benefits both academia and industry.
  • Highlight connections with existing STFC or UKRI investments.
  • Present a clear training strategy for doctoral researchers.

Common Mistakes to Avoid

  • Proposing projects outside the STFC research remit.
  • Weak or limited industrial engagement.
  • Failing to demonstrate cross-sector applications.
  • Poor integration of data-intensive methodologies.
  • Inadequate project governance planning.
  • Ignoring UKRI eligibility requirements.

Frequently Asked Questions (FAQs)

What is the Doctoral Focal Awards in Data-Intensive Sciences programme?

It is an STFC funding programme that supports doctoral research and advanced training in data-intensive sciences with applications across academia and industry.

How much funding is available?

The programme has a total budget of £10.5 million, with individual awards of up to £2.1 million.

Which research areas are eligible?

Projects should combine data-intensive science with STFC-supported disciplines such as astronomy, accelerator physics, particle physics, cosmology, nuclear physics, solar physics, or planetary science.

Who can apply?

Eligible organisations and applicants that meet UKRI Funding Service eligibility requirements and align with the STFC remit.

Is industry collaboration required?

Yes. Applicants are expected to secure active industrial engagement, including representation on the management board, although direct financial contributions are not compulsory.

Can STFC facilities host the award independently?

No. STFC facilities cannot independently host a Doctoral Focal Award Centre but may participate as collaborative partners.

What types of research are encouraged?

Research involving big data, artificial intelligence, machine learning, data analytics, visualization, intelligent systems, and innovative data technologies with scientific and industrial applications.

Conclusion

The Doctoral Focal Awards in Data-Intensive Sciences provides significant funding to strengthen doctoral research, advanced data science training, and industry collaboration across STFC research disciplines. By supporting innovative projects that combine scientific excellence with practical applications, the programme aims to develop highly skilled researchers capable of addressing complex scientific and industrial challenges through cutting-edge data-intensive technologies.

For more information, visit UKRI.

Exit mobile version