Postdoctoral Research Associate/Fellow, University of Exeter, UK

Post-Doctoral Fellowship Position at USA, Ozbolat Laboratory at Penn State

Postdoctoral Research Associate/Fellow: The University of Exeter is seeking a motivated and talented individual for a full-time Postdoctoral Research Associate/Fellow position to contribute to cutting-edge research in AI algorithms and their application to environmental studies. This role offers an exciting opportunity to work on a project funded by the European Commission and UK Research and Innovation.

Designation

Postdoctoral Research Associate/Fellow


DetailsInformation
LocationExeter
SalaryStarting from £34,132 (Grade E) up to £44,128 (Grade F)
Contract DurationFixed term of 18 months with a possibility for renewal based on performance
Contractual Hours36.5 hours per week
Job ReferenceQ07198

Research Area

  • AI Algorithms in Environmental Studies
  • Machine Learning Technologies
  • Urban Water Management
  • Nature-Based Solutions (NBS)

Location

Exeter, United Kingdom

Eligibility/Qualification

  • Relevant PhD (or nearing completion for Associate level).
  • Equivalent qualification/experience in a related field.
  • Demonstrated knowledge in research methods and techniques.

Job Description

The successful candidate will:

  • Develop AI algorithms that integrate data from various sources to analyze climatic events.
  • Apply machine learning technologies to create data-driven algorithms ensuring quality and trustworthiness.
  • Contextualize data for explainable AI applications.
  • Deliver research outputs, including reports, conference contributions, and scientific articles.
  • Collaborate and supervise work as needed, with potential travel for meetings and workshops internationally.

How to Apply

Interested candidates should apply online using the University of Exeter’s job portal. For further details, please refer to the Job Description and Person Specification provided on the site.

Last Date to Apply

Apply by: 10th September 2025


For any queries, please contact Prof. Albert Chen at a.s.chen@exeter.ac.uk.

Link

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