At a Glance
- Tasks: Lead a team in developing cutting-edge AI models for weather forecasting.
- Company: Join the Alan Turing Institute, a leader in AI research and innovation.
- Benefits: Enjoy a competitive salary, flexible working, and family-friendly policies.
- Other info: Be part of a diverse, inclusive team with excellent career growth opportunities.
- Why this job: Make a real impact on climate prediction and global development.
- Qualifications: Expertise in machine learning, especially in weather or climate applications.
The predicted salary is between 66482 - 72000 € 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.
Weather Forecasting for National Security
Sea-Ice Forecasting for Arctic Resilience
Climate Prediction for Global Development and Adaptation
One of the projects under this mission is specifically focused on Machine Learning Weather Prediction (MLWP). Working in partnership with the UK national meteorological service, the Met Office, the project team has developed a machine learning model for weather prediction, FastNet. The ultimate goal of this collaboration is to operationalise the FastNet model with the optimal blend of physics‐based and Machine Learning‐based modelling for UK weather prediction.
We are seeking a highly skilled, experienced Research Lead to drive forward the collaboration. The individual will need to have expertise in machine learning, preferably with experience of application in weather or climate prediction. The primary purpose of this role is to lead a team of researchers to conduct internationally leading research and ensure effective pull‐through towards impact. This will be a collaborative, multidisciplinary team, working across the Turing and the Met Office to bring the research to deployment.
How you will make an impact:
- Manage and lead a team of researchers and professional staff to develop and deliver high‐quality high‐impact research.
- Ensure research project delivery against objectives within allocated budgets and timeframes.
- Lead a team of researchers and research software engineers to develop the FastNet MLWP model.
- Take the lead on writing up findings as they emerge, producing and developing reports, and publications in peer‐reviewed journals.
- Lead on the preparation of proposals and applications to external bodies.
Terms and Conditions:
The full‐time post is offered on a fixed‐term basis for 3 years. Part‐time (0.8 FTE) applications can be considered. The annual salary is £66,482 – £72,000, plus excellent benefits, including flexible working and family‐friendly policies.
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.
Research Lead -AI for Weather Forecasting in London employer: The Alan Turing Institute
The Alan Turing Institute is an exceptional employer, offering a dynamic and inclusive work culture that fosters collaboration and innovation in the field of AI for weather forecasting. With a strong commitment to employee growth, we provide opportunities for professional development and flexible working arrangements, ensuring a healthy work-life balance. Located at the forefront of climate research, our team is dedicated to making a meaningful impact on global development and adaptation, making this an ideal place for passionate individuals looking to contribute to significant advancements in environmental science.
StudySmarter Expert Advice🤫
We think this is how you could land Research Lead -AI for Weather Forecasting in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to the Met Office or AI in weather forecasting. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your expertise! Prepare a portfolio or presentation that highlights your past projects in machine learning and weather prediction. This will help you stand out during interviews and discussions.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your answers and boost your confidence. Focus on how your skills align with the role of Research Lead.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Research Lead -AI for Weather Forecasting in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Research Lead role. Highlight your expertise in machine learning and any relevant projects you've worked on, especially those related to weather or climate prediction.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI for weather forecasting and how your background makes you the perfect fit for our team. Don’t forget to mention your leadership experience!
Showcase Your Research Impact:When detailing your past research, focus on the impact it had. We want to see how your work has contributed to advancements in the field, particularly in areas like climate prediction or operationalising models like FastNet.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our mission there!
How to prepare for a job interview at The Alan Turing Institute
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially as they relate to weather and climate prediction. Familiarise yourself with the FastNet model and its applications, as well as any recent advancements in AI for weather forecasting. This will show that you're not just interested in the role but also knowledgeable about the field.
✨Show Your Leadership Skills
As a Research Lead, you'll need to demonstrate your ability to manage and inspire a team. Prepare examples of how you've successfully led projects or teams in the past, particularly in research settings. Highlight your experience in delivering high-quality research within budget and time constraints.
✨Collaborative Spirit is Key
This role involves working closely with multidisciplinary teams, so be ready to discuss your collaborative experiences. Think of specific instances where you've worked with others to achieve a common goal, especially in research environments. Emphasise your ability to communicate effectively across different disciplines.
✨Prepare for Impact Questions
Expect questions about how your research can lead to real-world impact, especially in areas like national security and climate adaptation. Be prepared to discuss how you would operationalise research findings and contribute to proposals for external funding. This shows that you understand the bigger picture and are focused on delivering results.
