Postdoctoral Research Associate

University of Edinburgh Information Services Group

Postdoctoral researcher developing graph neural networks and transformers for turbulence computation. Collaborating with academic and industrial partners at the University of Edinburgh.

Posted 8/21/2026full-timeEdinburgh • 🇬🇧 United KingdomJuniorMid-Level💰 £41,064 - £48,822 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and training large neural networks for turbulence computation, with a strong understanding of graph neural networks, transformers, and dynamical systems. Proven ability to collaborate effectively with academic and industrial partners to advance research initiatives.

Highest-signal resume keywords

Neural Network DesignGraph Neural NetworksTransformersDynamical Systems UnderstandingTurbulent Flow Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Neural Network TrainingTurbulence ComputationModel DevelopmentData AnalysisPattern Recognition

Soft Skills

CollaborationCommunication

Industry Keywords

Reynolds NumberIndustrial DeploymentResearch CollaborationAcademic PartnershipsTechnology Company Engagement

About the role

Key responsibilities & impact

Design, construct, train, and release large neural networks for embedding and predicting high Reynolds number turbulence
Combine graph neural networks and transformers with a dynamical systems framework for turbulence computation
Identify coherent turbulence patterns and the rules governing their interactions
Collaborate with Dr Jacob Page, the PI, collaborators, industrial partners, and a leading researcher at a major technology company
Work with research groups at the University of Washington and Imperial College London
Contribute to other ongoing industrial collaborations
Develop low-order models for potential industrial deployment

Requirements

What you’ll need

CV
Research statement, including details as to how this project helps your career trajectory
Contact details of two academic references
Right to work in the UK, or potential eligibility for employment sponsorship
Design, training, and release of large neural network models for turbulence computation
Knowledge or application of graph neural networks and transformers
Understanding of dynamical systems and turbulent flows
Ability to collaborate with the PI, academic collaborators, industrial partners, and technology-company researchers

Benefits

Comp & perks

Competitive salary
Generous annual leave entitlement
Defined benefits pension scheme
Wide range of staff discounts
Family-friendly initiatives
Flexible work options
Diverse and vibrant international community
Potential employment sponsorship for international workers, subject to eligibility