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

Artificial Intelligence for Advanced Cellular Communication Systems Intern 2025

R&D Project Manager - Machine Learning - Cambridge

R&D Project Manager - Machine Learning - Cambridge

RF Design Engineer

Controls & Electrical Design Engineer

Senior ADAS 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

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.

How to Write a Winning Cover Letter for AI Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for AI jobs with this proven 4-paragraph structure. Perfect for junior developers and career switchers. When applying for an AI job, your cover letter can make all the difference. For many, the process of writing a cover letter for an AI position can be daunting, especially when there are so few specific guides for tailoring it to the industry. However, a clear, effective structure combined with AI-specific language and examples can help you stand out from the competition. Whether you're a junior entering the field or a mid-career professional switching to AI, the following framework will make it easier for you to craft a compelling cover letter. In this article, we’ll take you through a proven four-paragraph structure that works and provide sample lines that you can adapt to your personal experience.

Veterans in Tech: A Military‑to‑Civilian Pathway into AI Jobs

Published on ArtificialIntelligenceJobs.co.uk – empowering the UK talent pipeline for artificial intelligence, data, and robotics. Introduction Leaving the Armed Forces is both a proud milestone and a daunting leap into the unknown. Whether you served with the Royal Navy, British Army, Royal Air Force or Royal Marines, one thing is certain: the skills you forged under pressure are in high demand—especially in the booming field of artificial intelligence (AI).  The UK’s AI market is expected to contribute £400 billion to the economy by 2030, with defence and security applications at its core. Employers from start‑ups to FTSE‑100 giants are crying out for disciplined professionals who understand mission‑critical environments. Ex‑service personnel fit the bill perfectly. This guide maps the military‑to‑civilian journey, signposts Ministry of Defence (MoD) transition programmes, and shows you exactly how to land your first AI role. Quick Win: Bookmark our live listings for Machine Learning Engineer roles to see which employers are hiring right now.