Design Exchange Partnerships: design the green transition round three

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

Related Jobs

View all jobs

Senior LLM / Machine Learning Engineer – Clinical Platforms

Manufacturing Engineering Data Scientist

Machine Learning Engineer - Arrows

Data Scientist

SC-Cleared Data Engineer - Pipelines & DataOps

Senior Machine Learning Engineer

Opportunity status:Open
Funders:
Funding type: Grant
Total fund: £600,000
Award range: £62,500 - £125,000
Publication date: 2 May 2024
Opening date: 2 May 2024 9:00am UK time
Closing date: 12 September 2024 4:00pm UK time

Apply for funding to develop design-led solutions around the theme of more-than-human design.

More-than-human design refers to the idea of designing for impact beyond humans. It promotes the idea that, to explore the future we face, we also need to consider the non-human centred world view.

We welcome broad interpretations of the theme of more-than-human, including but not limited to one or more of the following areas:

  • the natural world
  • materials
  • health and wellbeing
  • urban environments
  • technology and artificial intelligence (AI)

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 .

Who is eligible to apply

Each project must involve:

  • one early career arts and humanities design research associate (including those undertaking doctoral studies in an arts and humanities design-led discipline). For this funding opportunity we are taking a flexible approach to defining early career and will accept applications including research associates at other career stages who can justify the value of this project to their own development. This position is open to job share arrangements
  • at least one academic supervisor who will be named as project lead for the purposes of administering the award
  • at least one non-academic organisation with a specific challenge relevant to the overarching theme of Design the Green Transition, which can be addressed through the ongoing application of design-led research carried out by the research associate

The research associate and supervisor must be based at a UK research organisation that is eligible for UKRI funding.

While the supervisor will have oversight of the project and will be the project lead for the purposes of administering the award, we expect the majority of intellectual leadership to come from the research associate. This must be demonstrated in the application and throughout the course of the award, if successful.

Non-academic partners must be either a:

  • micro or small and medium-sized enterprise, UK registered business, charity or not-for-profit
  • similarly sized department of a public sector organisation

Part-time applicants (minimum of 0.6 full-time equivalent) are welcome.

Job share applications for the research associate will be considered, provided:

  • both candidates can demonstrate a suitable arts and humanities-led design research background
  • both associates participate to an equal extent in all aspects of the project
  • clear and robust handover and communication arrangements are in place

The lead research organisation may make a total of two applications for this programme, but each application must be substantively different in both partnership team and project objectives.

The named research associate(s), supervisor(s) and non-academic partner may participate in only one application for this programme.

Who is not eligible to apply

Subcontractors are not eligible for this funding opportunity.

Equality, diversity and inclusion

We are committed to achieving equality of opportunity for all funding applicants. We encourage applications from a diverse range of researchers.

We support people to work in a way that suits their personal circumstances. This includes:

  • career breaks
  • support for people with caring responsibilities
  • flexible working
  • alternative working patterns

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.

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.