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The University of Edinburgh

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Postdoctoral Research Associate in Viscoelastic Fluid Flows, Elastic Turbulence, and Machine Learning The University of Edinburgh in United Kingdom

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Sep 17, 2026

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Country

United Kingdom

University

The University of Edinburgh

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Keywords

Computer Science
Mechanical Engineering
Materials Science
Mathematics
Fluid Mechanics
Physics
ML

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About this position

Postdoctoral Research Associate at The University of Edinburgh in Edinburgh, Scotland, United Kingdom.

This full-time, fixed-term (36 months) postdoctoral opportunity focuses on viscoelastic fluid flows, including elastic turbulence (ET) and elasto-inertial turbulence (EIT) in polymer solutions. The project combines experiments, simulations, statistical analysis, and machine learning to improve quantitative agreement between experimental observations and theoretical models.

The research program includes three aims: (1) improving agreement between 2D experiments and simulations, including flow structures and statistics, and using ML to optimize simulation parameters and estimate polymer stresses from experimental data; (2) studying the uniqueness of the elastic turbulence state in flows with streamline curvature and in parallel shear flows, in both 2D and 3D; and (3) relaxing the low-inertia condition to explore the relationship between ET and EIT in 2D flows.

The post holder will work closely with collaborators at the University of Pennsylvania, University of Cambridge (DAMTP), and the University of Vermont, with opportunities for travel. The role is suitable for candidates interested in fluid dynamics, turbulence, polymer physics, viscoelastic modeling, and data-driven methods.

Deadline: 17 September 2026.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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