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University of Sheffield Featured PhD Programmes
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Applied Mathematics PhD Projects, Programs & Scholarships

We have 159 Applied Mathematics PhD Projects, Programs & Scholarships

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We have 159 Applied Mathematics PhD Projects, Programs & Scholarships

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Data-Driven Robust Optimization for Installation of Offshore Windfarms

Overview. This project focuses on the installation process of wind turbines in offshore wind farms. The researcher is expected to develop optimization models and algorithms to identify the optimal configuration of vessel schedules to minimise installation duration and cost. Read more

PHD in Control Theory for Nonlinear and PDE systems

PhD. Arizona State University, Tempe, AZ, USA. A PhD position, fully funded by the National Science Foundation (NSF) is available in the Cybernetic Systems and Controls Lab (CSCL) in the Department of Aerospace Engineering at Arizona State University in Tempe, AZ. Read more

Causal representation learning for robust healthcare predictions

As part of the Canon Medical and RAEng funded project on Healthcare AI [1], we are looking to expand the team with a highly motivated PhD student working on disentangled representations, computer vision, and medical image analysis to start as soon as possible but no later than September 2022. Read more

Waves, flares, oscillations – complex mechano-biochemical dynamics on the surface of vertebrate cells

  Research Group: Institute of Cell Biology
Looking to join a successful international project on the nexus of cutting edge biophysical modeling and biological experiment?. A PhD project is available to study complex nonlinear dynamics on the cell surface of large vertebrate cells, oocytes and embryos. Read more

PhD in Mathematics and Statistics - Multiscale modelling of liquid crystal-filled porous media

Liquid crystals are scientifically fascinating and visually beautiful liquids that are all around us, forming an integral part of the liquid crystal display (LCD) used in almost every smart phone and computer display, and contained in both the cell wall and internal cytoplasm of all biological cells. Read more

PhD studentship in Predicting Higher-Order Biomarker Interactions using Machine Learning

One fully funded PhD position to work with Dr Ava Khamseh in the School of Informatics at the University of Edinburgh, on a project titled “Predicting Higher-Order Biomarker Interactions using Machine Learning”. Read more

Funded Opportunities - EPSRC Centre for Doctoral Training in Distributed Algorithms

Are you looking for an exciting, supportive and challenging research environment where you get to work on complex data challenges, in collaboration with an industry partner, as well as having the support and expertise of University of Liverpool academic supervisors?. Read more

AI-enhanced event and anomaly detection in single-molecule experiments

Single-molecule measurements, for example current-time or current-distance recordings from single-molecule detectors, usually produce data that are characterised by large variance and high levels of "noise". Read more

Cubature on Wiener space, recombination of particle measures and applications

This project is devoted to problems that arise when combining the promising and novel approach of ‘cubature on Wiener space’ developed by Kusuoka, Lyons and Victoir with recombination algorithms that can simplify particle descriptions of an evolving system. The aim is to develop powerful numerical methods that can be adopted by practitioners. Read more

PhD in Alloy development for “blue hydrogen” steam reformer applications

  Research Group: Advanced Metallic Systems Centre for Doctoral Training
This project is based at the University of Sheffield and is sponsored by Paralloy, and seeks candidates with a 2.1 or 1st class degree in a STEM discipline. Read more

Mathematical modelling of nonlinear transport phenomena affecting the fate of marine litter

This project will give you the opportunity to work with world-leading experts in applied mathematics to fluid mechanics. You will take part in a project that will have real world impact thanks to its potential to create safer habitats for humans and wildlife. Read more

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