Artificial intelligence, engineering biology and quantum technologies: highlight notice

NERC - the Natural Environment Research Council
Swindon
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer, NLP

Staff Machine Learning Engineer

Geospatial Artificial Intelligence Research Scientist

Artificial Intelligence Manager (18-month FTC)

Artificial Intelligence Manager (18-month FTC)

Artificial Intelligence Manager (18-month FTC)

Opportunity status:Open
Funders:
Funding type: Grant
Publication date: 2 April 2024
Opening date: 1 April 2024 9:00am UK time
Closing date: 31 March 2025 4:00pm UK time

Apply for funding for the application of artificial intelligence (AI), engineering biology, and quantum technologies in biomedical research and development.

You must be based at a UK research organisation eligible for MRC funding.

You can get funding through any grants from MRC responsive mode or translation funding opportunities.

You should apply through the existing funding opportunity that is most relevant to your science area and career stage.

We will usually fund up to 80% of your project’s full economic cost.

This highlight notice will be open from 1 April 2024 to 31 March 2025. Applications submitted in this window will be considered for this highlight opportunity. For individual application closing dates refer to the relevant MRC funding opportunity.

Who can apply

You must meet the eligibility criteria for the specific funding opportunity you are applying to.

Before applying for funding, check the .

UK Research and Innovation (UKRI) has introduced new role types for funding opportunities being run on the new UKRI Funding Service.

For full details, visit .

What we're looking for
Aim

UK Research and Innovation (UKRI) recognises the strategic importance to the UK of five critical technologies:

  • future telecommunications
  • semiconductors
  • AI
  • engineering biology
  • quantum technologies

These have been selected for their ability to build strategic advantage, create opportunities for growth, and capitalise on existing UK strengths.

Scope

During the highlight period MRC particularly welcomes applications from teams that are applying AI, engineering biology or quantum technologies, to better enable them to meet relevant MRC board and panel and cross-cutting .

Artificial intelligence (AI)

AI is considered here to be machines that perform tasks normally performed by human intelligence, especially when the machines learn from data how to do those tasks.

You should be clear on the biomedical research challenge to be addressed, how use of AI will deliver impact beyond incremental optimisation of current systems, and where, if applicable complementarity exists with UKRI strategies (for example ) and existing investments in the same area (for example ).

You should also consider, where applicable, how the AI tools developed will act as a platform for future applications in biomedical research, for example underpinning future research or infrastructure, including through generalizable approaches.

Engineering biology

The design and fabrication of biological components and systems, from modifications of natural systems through to artificial biology, in order to enhance our understanding of human health and disease or in the development of novel diagnostics, therapeutics and vaccines

Quantum technologies

Applications focused on utilisation of quantum sensing technologies aimed at improving diagnostics for early detection of disease, biomarker identification and increasing understanding of physiological systems in diseased states.

You should refer to this highlight notice and the critical technology in your application summary.

You can search the for the following funding opportunities where this highlight notice is relevant:

  • research, programme, partnership and new investigator grants from MRC responsive mode research boards or research grants from translational panels:
How to apply

This highlight notice will be open from 1 April 2024 to 31 March 2025. Applications submitted in this window will be considered for this highlight opportunity. For individual application closing dates refer to the relevant MRC funding opportunity.

You should apply through the relevant MRC funding opportunity that is most appropriate for your science area and career stage.

Applications will use the new UK Research and Innovation (UKRI) Funding Service so please ensure that your organisation is registered. You cannot apply on the Joint Electronic Submissions (Je-S) system.

Specifics for applying to this highlight notice

You should refer to this highlight notice and the critical technology in your application summary.

How we will assess your application
Assessment process

We will assess your application using the following process.

All applications received under this highlight notice will be assessed by the relevant MRC research board or panel through .

Find details of assessment questions and criteria under the ‘Application questions’ heading in the ‘How to apply’ section in the relevant funding opportunity.

Contact details
Get help with your application

If you have a question and the answers aren’t provided on this page

Important note: The Helpdesk is committed to helping users of the UK Research and Innovation (UKRI) Funding Service as effectively and as quickly as possible. In order to manage cases at peak volume times, the Helpdesk will triage and prioritise those queries with an imminent opportunity deadline or a technical issue. Enquiries raised where information is available on the Funding Finder opportunity page and should be understood early in the application process (for example, regarding eligibility or content/remit of an opportunity) will not constitute a priority case and will be addressed as soon as possible.

Contact details

For help and advice on costings and writing your proposal please contact your research office in the first instance, allowing sufficient time for your organisation’s submission process.

For questions related to this highlight notice, please refer to the specific funding opportunity for the appropriate contact details.

Any queries regarding the system or the submission of applications through the Funding Service should be directed to the helpdesk.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.