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We have 46 stochastic PhD Projects, Programmes & Scholarships

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stochastic PhD Projects, Programmes & Scholarships

We have 46 stochastic PhD Projects, Programmes & Scholarships

Stochastic simulation, analysis, and inference of non-linear dynamical systems

  Research Group: Division of Statistics
This project will develop a novel framework for studying the dynamics of systems presenting oscillations and multi-stabilities. This type of dynamics is abundant in many fields and especially in molecular biology, epidemiology, ecology, sociology. Read more

Stochastic modelling and inference for live-cell gene expression time-series data to unravel the mechanisms of stem cell differentiation

  Research Group: Division of Statistics
This project will develop statistical methodology for noisy time-series data and stochastic computational models to analyse live-cell imaging data provided by the lab of our collaborator Dr Cerys Manning at the University of Manchester. Read more

Stochastic response characterisation and reliability driven optimisation of floating wind turbines

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

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

Stochastic randomized control on bicycle balance

Bicycles are widely used for transportation, exercise, and recreation and play an important role in urban mobility. Individuals benefit from the fact that cycling is a healthy and cheap form of transport. Read more

Novel stochastic control method for a class of complex networks

Complex systems, which contain large ensembles of elements interacting with each other and are affected by noises and uncertainties, have become one of the major research fields due to their presence in the real life. Read more

Machine learning the dynamics of force-sensing proteins

Mechanosensing proteins detect mechanical forces within cells and convert them into biochemical signals. Understanding the dynamic behaviour of these proteins under force is key for advancing our understanding of this process called mechanotransduction. Read more

Thermodynamic signatures of collective behaviour in active matter

  Research Group: Complex Systems
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2024. . Read more

Mathematical and computational modelling of diffusion-driven material ageing

This project will consider systems of reaction-advection-diffusion equations both computationally and analytically. These find application to modelling corrosion/ageing in materials, where diffusion of a reactant into the bulk material and its subsequent reaction leads to the growth of unwanted corrosion products. Read more
Last chance to apply

Mathematics: Fully Funded UKRI and Swansea PhD Scholarship: Optimal problems under contagious markets with regime switching and risk uncertainty

Funding providers: UKRI and Swansea University's Faculty of Science and Engineering. Subject areas: Stochastic Optimal Controls, Point Processes, insurance strategies, regime switchings, and Risk Uncertainty. 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

Data centric modelling of adhesive wear

Supervisory Team:  Robert Wood, Jo Grundy and Dave Stewart (RRSL).  Project description. The occurrence of adhesive wear between sliding surfaces can cause high friction, vibration, material transfer between surfaces and even seizure of components. Read more

Noise and Evolution in Ageing Cellular Power Stations

PhD Project. Imperial College Mathematics. Student Background. Theoretical Physics, Mathematics/Statistics, Electrical Engineering, Computing (Biological knowledge not required). 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 Optimisation of Urban Evacuation Procedures

Background. Evacuation constitutes the most fundamental strategy in the response to a humanitarian disaster. Key among the factors impeding evacuation is the unique traffic patterns that arise due to the sudden surge in travel demand, which contravene nominal traveller behaviour. Read more

Leveraging Statistical and Machine Learning Approaches for Engineering Design under Uncertainties

Are you passionate about pushing the boundaries of engineering design and addressing real-world challenges? Embark on this exciting journey to develop novel statistical and machine learning methods to enhance engineering design in the presence of uncertainties, and contribute to shaping the future of computational engineering design. Read more

Novel causal models for multivariate functional data

  Research Group: Data Science, Statistics & Probability
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2024. . Read more

Fully funded PhD Studentships in the Mathematics for Real-World Systems CDT

The Mathematics for Real-World Systems (MathSys) Centre for Doctoral Training have fully funded studentships for PhD's in the area of Applied Mathematics starting July 2024. Read more

Probabilistic AI (ProbAI Hub)

The ProbAI Hub is a £8.5M research hub funded by EPSRC to develop better understanding of and new methods in AI. This will be achieved by research at the interface of AI and Mathematics. Read more

PhD in Computer Arithmetic and Numerical Analysis

  Research Group: School of Computing
In 1985, a floating-point standard has been introduced, which, among multiple things, defined a set of required and recommended arithmetic operations and mathematical functions. Read more

Intelligent, Energy Efficient and Secure Tactile Communication using Federated Learning in 6G Network

In 5G, ultra-reliable low-latency communication has been a backbone for various applications that need an extremely low delay. However, further research will be required to minimize the round trip delay and improve energy efficiency and security of user data in the 6G network [1]. Read more

Integrated High Altitude Platform: LEO Satellite Mega-Constellations for Next Generation Non-Terrestrial Networks

LEO satellite mega constellations promise to revolutionise wireless connectivity in many areas of the world. However, they have a fundamental drawback in that conventional cellular user equipment cannot be used directly. Read more

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