University of Birmingham
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PhD in Regularized Dynamical Parametric Approximations for Gradient Flows University of Birmingham in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableCountry
United Kingdom
University
University of Birmingham

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About this position
PhD opportunity at the University of Birmingham, School of Mathematics in Applied Mathematics and Computational Mathematics.
This project, supervised by Dr Jörg Nick, focuses on regularized dynamical parametric approximations for gradient flows. The research sits at the intersection of classical numerical analysis, scientific machine learning, and computational chemistry. It studies parametric integrators for high-dimensional partial differential equations, with applications to quantum dynamics, tensor networks, neural networks, and high-dimensional optimisation problems such as the electronic structure problem.
Eligibility highlights: a strong first-class degree in Mathematics at MMath/MSci/MSc level or equivalent; a solid background in numerical analysis of differential equations; excellent programming skills; and strong oral and written communication skills.
Funding: funding may be available through a college or EPSRC scholarship in competition with all other PhD applications. The scholarship covers tuition fees, training support, and a stipend at standard rates for 3.5 years. Strong self-funded applicants worldwide are also welcome.
Application timing: applications are accepted all year round, but early application is strongly recommended. There is an annual scholarship deadline typically at the end of January, and overseas candidates can only be considered until the beginning of September.
Contact: informal inquiries should be directed to Dr Jörg Nick at j.a.nick@bham.ac.uk.
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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