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We have 66 Applied Mathematics (computational physics) PhD Projects, Programmes & Scholarships

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Applied Mathematics (computational physics) PhD Projects, Programmes & Scholarships

We have 66 Applied Mathematics (computational physics) PhD Projects, Programmes & Scholarships

Modelling ultra-low frequency (ULF) waves in Earth’s magnetosphere

The Solar and Magnetospheric Theory Group (SMTG) in the School and Mathematics and Statistics, University of St Andrews, is looking for applicants for a funded PhD project for a start in September/October 2024. Read more

New parameter inference for stochastic models of tissue growth

My research group is recruiting a PhD student who will work on a project to produce and apply new computational methods for parameter estimation with a focus on discrete models that describe tissue growth experiments. Read more

Exploring close binary stars: Using nonlinear time series analysis and machine learning for analysing stellar light curves.

These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level (home or international) and any applicable additional research costs. Read more

Chaos-based cryptography

These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level (home or international) and any applicable additional research costs. Read more

Large Eddy Simulation Around Buildings (LES)

Computational Wind Engineering has been developing rapidly over the last couple of decades. Among the numerical techniques, Large Eddy Simulation (LES) is capable of simulating complex unsteady turbulent flows, which is very useful for applications such as wind-induced noise/vibrations around buildings and structures. Read more

Deep learning for black hole tomography

The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University Edinburgh (HWU), headed by Professor Yves Wiaux is recruiting a PhD student for research on deep learning for black hole imaging. Read more

Fully Funded PhD Program Opportunity

The Okinawa Institute of Science and Technology Graduate University (OIST), accredited in 2011 as a graduate university, is located in the beautiful subtropical island of Okinawa, Japan. Read more

Understanding the evolution of gene regulatory networks through biophysical modelling and machine learning

The ability to coordinate the expression of genes within a cell is at the heart of life. When and how much of a specific gene is turned into a protein is essential for organisms to respond to their environment and to manage resources. Read more

Connections between Numerical Analysis of Differential Equations and Machine Learning

Up to two funded PhD projects are available in the Department of Mathematics at the University of Manchester on Connections between Numerical Analysis of Differential Equations and Machine Learning. Read more

Numerical investigation of MHD systems coupling the induction formulation with thermal models

The department of Astronautical, Electrical and Energy Engineering at the Sapienza University of Rome is inviting applications for the following fully funded PhD project/studentship, expected to commence November 2024. Read more

Study of turbulence in fusion technology using high fidelity simulations

A fully-funded PhD Studentship with an enhanced stipend of £2,500 for 3.5 years is available in the Department of Mechanical Engineering at the University of Sheffield to study turbulence in fusion technology using advanced computational fluid dynamics (CFD). Read more

Microfluidic-assisted particle manipulation in complex fluid environments for biomedical and engineering applications

We are delighted to offer two new PhD positions (one experimental and one numerical) on “particle manipulation in complex fluid environments for biomedical and engineering applications” at Department of Mechanical and Aerospace Engineering - University of Strathclyde. Read more

Machine Learning approaches to improve the efficiency of fluid dynamics simulations

OpenFOAM and CFD simulations are often computational expensive both in terms of resources and time. CFD codes often use explicit methods that require small time steps of the order of micro-nano seconds. Read more

Intracellular Capillarity of Biomolecular Condensates

The emerging role of biomolecular condensates formed through a liquid-liquid phase separation process inside biological cells is driving a paradigm change in our understanding of cellular organisation. Read more

Mathematical Machine Learning for Molecular Modeling

Project description. This PhD project aims to develop Machine Learning methods for Molecular Modeling with a particular focus on aspects relevant to dynamics preserving coarse-graining strategies. Read more

Modelling and Computation for Radiation Chemistry at Interfaces

This project is an interdisciplinary collaboration between Mathematics and Chemistry. Real-world applications include safe radioactive wate disposal, plutonium stewardship and radiation based cancer care. Read more

Damage characterisation and root cause analysis of wind turbine pitch bearings

Blade pitch bearings of large scale wind turbines control the individual blades in order to maximise power generation at low wind speeds and to prevent turbine damages under high winds. Read more

Advanced Wind Turbine Control Systems

Wind turbine control is necessary to ensure low maintenance costs and efficient performance. The control system also guarantees safe operation, optimizes power output, and ensures long structural life. Read more

CFD Study of Wind Turbine Aerodynamics

Wind turbine is the main technology that converts wind energy to electricity. The interaction between air flow and the turbine blade are critical to the structure integrity and noise generation of the turbine. Read more

Analysis of post-combustion CO2 capture from natural gas power plants using CFD and process co-simulation

The use of natural gas as a fuel for electricity production is expected to gradually increase in the next decades. Since it is acknowledged that large CO2 emission cuts should be achieved in the near future, it seems plausible that these systems may have to be coupled to CO2 capture schemes. Read more

Advanced virtual reality future power plant dynamic simulations

This project aims to combine computational fluid dynamics, chemical process modelling and virtual system simulation techniques to develop a dynamic modelling tool for power plant performance simulations. Read more

Ash Melting Behaviour and Deposition in Oxyfuel Biomass Combustion

The combustion of biomass is proposed as a “carbon neutral” alternative to fossil fuel utilisation and even a “carbon negative” technology when combined with Carbon Capture and Storage technologies such as oxyfuel combustion (Bio-CCS). Read more

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