Jobs

IP 2025 - Urban-scale Artificial Intelligence Modeller


Job details
  • Met Office
  • Reading
  • 3 weeks ago
Applications closed

The Met Office is delighted to open our advertising for a number of Industrial Placements, which will commence from July 2025 until July 2026.We're looking for an exceptional Urban-scale Artificial Intelligence Modeller Industrial Placement to help us make a difference to our planet.This is an exciting opportunity to join the Met Office on a 12-month Year in Industry placement, developing your skills and knowledge and ensuring you gain the most value possible from your experience with us. You will have the opportunity to network with our cohort of Industrial Placements all over the Met Office and understand what career opportunities we can offer you after you graduate.As our Urban-scale Artificial Intelligence Modeller, the job may be suitable for hybrid working, which is where an employee works part of the week in the office and part of the week from home. This is a voluntary, non-contractual arrangement and the location advertised will be your contractual place of work.Our opportunity is full time, 37 hours per week. Our people are at the heart of what we do and we'll do our best to agree a working pattern that works for everyone.World changing workFrom science to technology, from meteorology to management, and from planning to communication, our expertise helps us stand out as the authority on weather accuracy and climate prediction. We help individuals, industries and government to make better decisions to stay safe and thrive. This is the Met Office. This is who we are.We're a force for good - focusing on our environmental and social impactWe're experts by nature - always learning and developing to do things betterWe live and breathe it - putting our purpose at the heart of decision-makingWe're better together - understanding partnerships and inclusivity make us greaterWe keep evolving - pushing boundaries to make tomorrow better for our customersYour world of expertiseOur Industrial Placement scheme offers ambitious and capable undergraduates the opportunity to gain valuable experience working alongside diverse and highly skilled experts in their field. You'll be working on projects that really matter and will make a difference.The Met Office have cutting-edge, high-resolution, physics-based models that can resolve individual storms and meteorology at neighbourhood scales in cities. However, such models are too computationally expensive for many applications. You will be working on the AI4 Climate project developing a method for 'downscaling' coarse-resolution simulations, training a machine learning (ML) emulator to learn the relationship between historical coarse- and high-resolution physics-based model output. The artificial intelligence-based emulator will enable fast, high-resolution weather and climate predictions.You will be a member of the Regional Modelling and Evaluation (RMED) team and will work closely with colleagues in Data Science R&D as well as other researchers across Science exploring the value of these new approaches.Your key dutiesDevelop an ML method for downscaling precipitation from kilometre- to hectometre-scale, using 300 m ensemble simulations from the WesCon field campaign as training data. There is the potential to extend this to downscaling of other variables.Adapt existing ML workflows (using Python and the Azure platform) to design a new ML workflow that is under GitHub version control.Identify and apply appropriate techniques to evaluate the performance of the emulator.Deliver a report documenting the background literature, the ML workflow, and the research findings. Present the main results from this at an RMED team brief.Why join usOur work is life-changing, often life-saving and always life-enhancing. The Met Office is accredited as a 'Great Place to Work UK 2023' and in addition has achieved a place on both the UK's 'Best Workplaces in Tech' and 'Best Workplaces for Women' lists.Whilst this is a temporary position until July 2026, there is potential for it to develop into an opportunity to join our Graduate Development scheme once you have completed your University studies.Your package includes:Your salary will be £25,606Annual Leave starting at 27.5 daysAccess to discounted shopping, inclusive of retail, leisure and lifestyle brandsEssential Criteria, skills and experience:Have basic programming ability and be keen to develop Python, GitHub, and ML skills, embodying our value 'we keep evolving'Be a team player that is happy to collaborate and is pro-active in seeking advice, exemplifying our value 'we're better together'Be motivated to use cutting-edge science for positive societal impact, reflecting our values 'we're experts by nature' and 'we're a force for good'How to applyIf you share our values, we'd love to hear from you! Click apply to begin your application. Please complete your career history and provide evidence against each of the essential criteria in the supporting statement questionnaire. We recommend candidates use the CARL method (Context, Action, Result and Learning) for presenting evidence of experience and skills.Closing date: 08/01/2025 at 23:59. Please note we often receive a high volume of applications, but we will contact everyone who applies once the closing date as past. Interviews will be completed by 25/02/2025.For additional guidance on our recruitment process and how to apply please look at our approach to recruitment page on our careers site.How we can helpIf you have any questions or would like to discuss this opportunity further, please contact us at .If you're considering applying and need support to do so, please get in touch. You can request adjustments either within your application or by contacting us. Should you be offered an interview, please be aware there may be a selection exercise which could include a presentation, written test or a scenario-based activity. You can select in your application to be considered under the Disability Confident Scheme. To be invited to interview/assessment under this scheme, your application must meet the essential criteria for the role.We understand that great minds don't always think alike and as an equal opportunities employer we welcome applications from those with all protected characteristics. We recruit on merit, fairness, and open competition in line with the Civil Service Code.We can only accept applications from those eligible to live and work in the UK - please refer to GOV.UK for information. We require Security clearance, for which you need to have resided in the UK for at least 3 of the last 5 years to be eligible. You will need to achieve full security clearance within your first 6 months with us.TPBN1_UKTJ

Sign up for our newsletter

The latest news, articles, and resources, sent to your inbox weekly.

Similar Jobs

Senior) Licensing & Ventures Manager - Life Sciences

Fixed Term: 12 months maternity coverRef: 262Oxford University Innovation (OUI) and its Life Science Licensing & Ventures (L&V) team is renowned for its work on the Oxford/AstraZeneca Covid-19 vaccine, and creating spinouts like Oxford Nanopore Technologies, that revolutionised DNA sequencing. The Higher Education Business & Community Interaction survey by UKRI...

Oxford

Software Engineering Intern

Software Engineering InternWelcome to Mimecast, we are a highly accredited and multi-award winning, global cyber resilience SaaS vendor on a mission to stop bad things happening to good organisations!As a SaaS, the Engineering department is the backbone of our organisation. This community is built up of technically passionate and intelligent...

Mimecast London

Associate Customer Success Manager

Job DescriptionWhat you get to do in this role:The role of the Customer Success Manager is to act as an advocate for our customers. You will oversee a portfolio of customers to help them achieve business outcomes and foster greater adoption and usage of the ServiceNow products they have purchased...

ServiceNow Staines-upon-Thames