At a Glance
- Tasks: Lead AI research for climate resilience and tackle real-world environmental challenges.
- Company: Join the Alan Turing Institute, a world-leading research organisation.
- Benefits: Competitive salary, flexible working, and family-friendly policies.
- Other info: Dynamic role with opportunities for international collaboration and career growth.
- Why this job: Make a significant impact on climate forecasting and national security.
- Qualifications: Proven expertise in AI and environmental science with leadership skills.
The predicted salary is between 78004 - 85000 £ per year.
The Environment Forecasting Mission advances AI-enabled forecasting to deliver practical decision intelligence, protecting people and infrastructure from extreme weather, securing the Arctic, and providing operational climate intelligence for global development and adaptation.
As a Theme Lead for our Environment Mission, you will direct a high-priority research portfolio at the cutting edge of AI and weather forecasting. Working alongside key stakeholders like the UK Met Office, you will tackle real-world challenges to shape a national priority at a transformative moment for the field. We are seeking a leader with an outstanding track record in AI and environmental science and a passion for multidisciplinary, impact-driven collaboration. Reporting to the Mission Director for Environmental Forecasting, you will provide strategic leadership and line management for researchers and engineers. This is a standout opportunity to define the future of national research within a world-leading institute.
HOW YOU WILL MAKE AN IMPACT
- Lead the development of the research strategy for climate resilience and ensure strategic links between other research themes and missions.
- Lead on the technical oversight of project proposals within the area of research, including proposed activities, resource plan, timeline, and budgets.
- Lead grant proposals and bids for funding within the thematic area of AI and weather forecasting.
- Represent the Theme in meetings and external conversations with key stakeholders.
- Deputise for the Mission Director as needed.
- Work with Partnerships team to establish collaborations both nationally and internationally.
CLOSING DATE FOR APPLICATIONS: SUNDAY 7 JUNE 2026 AT 23:59 (LONDON, UK, BST)
We reserve the right to close this vacancy early or to interview suitable candidates before the closing date if enough applications are received.
TERMS AND CONDITIONS
This full-time post is offered on a fixed-term basis for 3 years. The annual salary is £78,004 – £85,000 plus excellent benefits, including flexible working and family-friendly policies.
APPLICATION PROCEDURE
If you are interested in this opportunity, please click the apply button to be redirected to The Alan Turing Institute jobs portal, where you can find more information and a full job description for this role. You will need to register on the applicant portal and complete the application form including your CV and covering letter.
EQUALITY, DIVERSITY AND INCLUSION
The Alan Turing Institute is committed to creating an environment where diversity is valued and everyone is treated fairly. We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don’t meet every single requirement, please apply — we recognise that great candidates may bring strengths beyond the criteria listed. We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition.
Principal Research Scientist–AI forClimateResilience(Theme Lead) in London employer: The Alan Turing Institute
The Alan Turing Institute is an exceptional employer, offering a unique opportunity to lead pioneering research at the intersection of AI and climate resilience. With a strong commitment to flexible working, family-friendly policies, and a culture that values diversity and inclusion, employees are empowered to grow and collaborate on impactful projects that address real-world challenges. Located in London, this role provides access to a vibrant academic community and the chance to work alongside key stakeholders like the UK Met Office, making it an ideal environment for those passionate about making a difference in environmental science.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Research Scientist–AI forClimateResilience(Theme Lead) in London
✨Network Like a Pro
Get out there and connect with people in the field! Attend conferences, workshops, or even local meetups related to AI and climate resilience. Building relationships can open doors to opportunities that aren’t even advertised.
✨Showcase Your Expertise
Create a portfolio that highlights your past projects and research in AI and environmental science. Use platforms like LinkedIn to share your insights and engage with relevant content. This will position you as a thought leader in the space!
✨Prepare for Informal Chats
Don’t underestimate the power of casual conversations! Reach out to current employees at The Alan Turing Institute or similar organisations for an informal chat about their experiences. It’s a great way to learn more about the culture and expectations.
✨Apply Through Our Website
When you’re ready to apply, make sure to do it through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details you need to tailor your application perfectly!
We think you need these skills to ace Principal Research Scientist–AI forClimateResilience(Theme Lead) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role of Principal Research Scientist. Highlight your expertise in AI and environmental science, as well as any leadership roles you've held. We want to see how you can make an impact!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about climate resilience and how your background makes you the perfect fit for this role. Be sure to mention any relevant collaborations or projects you've been involved in.
Showcase Your Leadership Skills:As a Theme Lead, you'll be directing a high-priority research portfolio. Make sure to highlight your leadership experience and how you've successfully managed teams or projects in the past. We want to know how you can guide our mission forward!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the details you need about the role and the application process there. We can't wait to hear from you!
How to prepare for a job interview at The Alan Turing Institute
✨Know Your Stuff
Make sure you’re well-versed in AI and environmental science. Brush up on recent advancements in climate resilience and how they relate to weather forecasting. Being able to discuss specific projects or research will show your passion and expertise.
✨Showcase Your Leadership Skills
As a Theme Lead, you'll need to demonstrate your ability to lead and manage teams. Prepare examples of past experiences where you've successfully directed research projects or collaborated with stakeholders. Highlight your strategic thinking and how you’ve driven impact in previous roles.
✨Understand the Mission
Familiarise yourself with the Environment Forecasting Mission and its goals. Be ready to discuss how your vision aligns with their objectives and how you can contribute to shaping the future of national research in this area.
✨Prepare for Collaboration Questions
Expect questions about your experience working with diverse teams and stakeholders. Think of examples that showcase your ability to foster collaboration, both nationally and internationally, and how you’ve navigated challenges in multidisciplinary environments.
