Imperial College London
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2 weeks ago
Imperial College London Chemical Engineering PhD Scholarship
PhD Scholarship in Data-Driven Modelling and Prediction of Complex Systems Imperial College London in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Funded PhD project. Covers full tuition fees and provides a tax-free maintenance contribution of £25,000 per annum for 42 months.
Deadline
Nov 1, 2027
Country
United Kingdom
University
Imperial College London

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About this position
Imperial College London’s Department of Chemical Engineering is advertising a funded PhD scholarship in data-driven modelling and prediction of complex systems.
The project focuses on developing and extending modern machine-learning approaches for scientific computing, including neural ordinary-differential equations (NODEs) and physics-informed neural networks (PINNs). Research will explore the dynamics of ODEs, then extend to SDEs and ultimately SPDEs, with prototypical systems such as the Lorenz system and Rayleigh-Bénard convection. A key theme is sensitivity analysis and the predictability of these models.
This opportunity sits at the intersection of Chemical Engineering, Mathematics, Physics, and Computer Science. It is suitable for applicants interested in computational modelling, dynamical systems, scientific machine learning, and numerical methods for differential equations.
The scholarship is open to all applicants regardless of fee status and provides full tuition coverage plus a tax-free maintenance stipend of £25,000 per year for 42 months.
Applications are accepted all year round, with selection rounds listed for 1 November 2027, 11 January 2027, and 1 March 2027 (subject to scholarship availability). Applicants should submit a PhD application through Imperial’s online admissions system and are encouraged to contact Prof S Kalliadasis at [email protected] before applying.
Funding details
Funded PhD project. Covers full tuition fees and provides a tax-free maintenance contribution of £25,000 per annum for 42 months.
What's required
Applicants should apply for admission to the Chemical Engineering PhD programme through the online admissions system. The project is open to all applicants regardless of fee status. Interest in data-driven modelling, neural ordinary-differential equations, physics-informed neural networks, and dynamical systems is relevant; the project involves ODEs, PDEs, SDEs, SPDEs, and sensitivity analysis.
How to apply
Submit a PhD application for admission through Imperial College London’s online admissions system. Interested applicants are encouraged to contact Prof S Kalliadasis before applying.
More information can be found here
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