At a Glance
- Tasks: Lead a team to develop cutting-edge AI models for weather forecasting.
- Company: Join the Alan Turing Institute, a leader in AI and research.
- 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, preferably 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.
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 employer: The Alan Turing Institute
The Alan Turing Institute is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the field of AI and weather forecasting. With a strong commitment to equality, diversity, and inclusion, employees benefit from flexible working arrangements and family-friendly policies, alongside opportunities for professional growth within a multidisciplinary team. Located at the forefront of climate research, this role not only contributes to impactful projects but also supports the development of cutting-edge technology that addresses global challenges.
StudySmarter Expert Advice🤫
We think this is how you could land Research Lead -AI for Weather Forecasting
✨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 skills! Prepare a portfolio or a presentation that highlights your experience with machine learning and weather prediction. This is your chance to shine and demonstrate how you can lead the FastNet project.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing answers to common questions about leadership and research impact. We want you to feel confident when discussing how you’ll manage a multidisciplinary team.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our mission at StudySmarter.
We think you need these skills to ace Research Lead -AI for Weather Forecasting
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in machine learning and weather prediction. We want to see how your skills align with our mission, so don’t hold back on showcasing relevant projects!
Showcase Your Leadership Skills:As a Research Lead, you'll be managing a team, so it's crucial to demonstrate your leadership experience. Share examples of how you've successfully led research projects or teams in the past – we love to see collaboration in action!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see why you're the perfect fit for this role!
Apply Through Our Website:We encourage you to submit your application 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 values 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. Being able to discuss these topics confidently will show that you're not just a candidate, but a potential leader in this field.
✨Showcase Your Leadership Skills
As a Research Lead, you'll need to manage a team effectively. Prepare examples of how you've led teams in the past, particularly in research settings. Think about challenges you've faced and how you overcame them, as well as how you foster collaboration among diverse groups.
✨Prepare for Collaboration Questions
Since this role involves working closely with the Met Office and other multidisciplinary teams, be ready to discuss your experience in collaborative projects. Highlight specific instances where your teamwork made a significant impact on project outcomes.
✨Be Ready to Discuss Impact
The job focuses on delivering high-impact research. Prepare to talk about how your previous work has led to tangible results or advancements in the field. This could include publications, successful project completions, or innovative solutions you've developed.
