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Opportunity Details

Postdoctoral Research Associate / Fellow

Salary
£35,302
Application Deadline
December 10, 2026
Employment type
Full time
Position Type
PostDoc
Date Posted
October 31, 2026
Contact Email
a.pillai@exeter.ac.uk
Explicify summary

Offer Summary

The University of Exeter seeks a Postdoctoral Research Associate or Fellow for a full-time role based at the Penryn Campus in Cornwall. This UKDI-funded position runs from January 1, 2027, to December 31, 2027. The role focuses on developing a novel, observation-based machine learning ocean forecasting system through collaboration with the UK Met Office and Oshen. Key responsibilities include designing uncertainty propagation techniques in Python, developing adaptive spatial sampling algorithms, and validating frameworks using synthetic and real-world data. Candidates require a PhD or equivalent experience in fields such as oceanography, machine learning, statistics, or engineering. Salary ranges from £35,302 for the Associate level to £44,352 for the Fellow level, depending on expertise. The university offers comprehensive staff benefits, including generous parental leave policies, career development support, and a collaborative research environment within a top-ranked Russell Group institution.

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Project Description

  • Postdoctoral Research Associate / Fellow
    This UKDI funded full-time post is available on a fixed term basis from 01 January 2027 to 31 December 2027.

    The starting salary will be from £35,302 on Grade E for the Postdoctoral Research Associate level and from £44,352 on Grade F for the Postdoctoral Research Fellow level, depending on knowledge, skills and experience.

    This role may be subject to additional background screening.The RoleFaculty of Environment, Science, and EconomyThe Faculty wishes to recruit a Postdoctoral Research Associate or Fellow to join the Department of Engineering at the Penryn Campus, Cornwall to assist in the development of a novel, observation-based machine learning ocean forecasting system, delivered in close collaboration with the UK Met Office and Oshen, a developer of autonomous ships for ocean measurements. The successful applicant will work with Dr Ajit Pillai, Dr Ian Ashton, and teams at the UK Met Office to develop and integrate of uncertainty quantification methods and drive the experimental verification and validation of the framework using data from mobile autonomous platforms..The post will include designing and implementing uncertainty propagation techniques in Python within a 3D machine learning forecasting pipeline, developing adaptive spatial sampling algorithms, and leading the staged verification of the framework using synthetic ocean data, MEOP-CTD datasets, and autonomous vessel deployments. It will include the development of simulation code, interpretation of model outputs, analyzing measurement data, and publication and presentation of findings.About YouPostdoctoral Research Associate: The successful applicant will be able to present information on research progress and outcomes, communicate complex information, orally, in writing and electronically and prepare proposals and applications to external bodies.Applicants will possess a relevant PhD (or nearing completion) or possess an equivalent qualification/experience in oceanography, machine learning, statistics, mathematics, engineering, or a related field and be able to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes. Applicants will be able to insert skills and knowledge required.Postdoctoral Research Fellow: The successful applicant will be able to develop research objectives, projects and proposals; identify sources of research funding and contribute to the process of securing funds and make presentations at conferences and other events.Applicants will possess a relevant PhD or possess an equivalent qualification/experience in oceanography, machine learning, statistics, engineering, or a related field. The successful applicant will be a nationally recognised authority in insert subject area and possess sufficient specialist knowledge in the discipline to develop research programmes and methodologies. The successful applicant will also be able to work collaboratively, supervise the work of others and act as team leader as required.. Applicants will be able to demonstrate advanced expertise in uncertainty quantification and propagation, proven experience validating complex computational models against real-world observational data, and a track record of delivering open-source codebases or reproducible scientific software.Please ensure you read the Job Description and Person Specification for full details of this role.What we can offer youFurther information

    Please contact insert Dr Ajit Pillai, a.pillai@exeter.ac.uk
  • Freedom (and the support) to pursue your intellectual interests and to work creatively across disciplines to produce internationally exciting research
  • Support teams that understand the University wide research and teaching goals and partner with our academics accordingly
  • An Innovation, Impact and Business directorate that works closely with our academics providing specialist support for external engagement and development
  • Our Exeter Academic initiative supporting high performing academics to achieve their potential and develop their career
  • A multitude of staff benefits including sector leading benefits around maternity, adoption and shared parental leave (up to 26 weeks full pay), Paternity leave (up to 6 weeks full pay), and a Fertility Treatment Policy
  • A beautiful campus set in the heart of stunning Devon / Cornwall
  • Transform Your Career and Help Shape a Greener, Healthier, and Fairer Future

    Join the University of Exeter, a top 200 Russell Group university (QS & THE World University Rankings 2025), excelling in teaching (triple Gold rating, TEF 2023) and leading groundbreaking research in the beautiful southwest of England.

    We are committed to understanding different cultures and perspectives, supporting diverse leadership, and striving for social justice. We encourage applications from all groups underrepresented in our community, including racially minoritised individuals and those with disabilities. Our inclusive, merit based recruitment processes seek to embrace a diverse set of experiences to ensure colleagues feel supported equitably. With over 30,000 students and 7,000 staff from 140 countries, we foster a culture where everyone can thrive.

    You can read more about our current accreditations and commitment to Equality, Diversity and Inclusion here, including our commitment to the Armed Forces Covenant.

    What we can offer you:
    How we can help

    If you are considering applying and need support to do so, please get in touch with us at hrhelpdesk@exeter.ac.uk. You can request reasonable adjustments within your application or by contacting us. You can also choose to be considered under our Disability Confident Scheme and find out here how this is managed during our recruitment and onboarding process.
  • Freedom (and the support) to pursue your intellectual interests and to work creatively across disciplines;
  • Support teams that understand the University wide teaching goals and partner with our academics accordingly;
  • An Innovation, Impact and Business directorate that works closely with our academics providing specialist support for external engagement and development;
  • Our Exeter Academic initiative supports high performing academics to achieve their potential and develop their career;
  • A multitude of staff benefits including sector leading benefits around maternity, adoption and shared parental leave (up to 26 weeks full pay), paternity leave (up to 6 weeks full pay), and a Fertility Treatment Policy;
  • A beautiful campus set in the heart of stunning Devon/Cornwall.

About Us

About The Role


Academic Contact

Last Update University of Exeter careers.exeter.ac.uk
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