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Probability PhD Projects, Programmes & Scholarships
We have 39 Probability PhD Projects, Programmes & Scholarships
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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
Generative models with diffusions
One of the power engines behind synthetic data generation in AI is diffusion models, aka, stochastic differential equations. A success story that draws a lot of public attention recently is the generation of high-resolution images from text prompts, e.g. Read more
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Optimising resource availability using digital twins in manufacturing PhD
This PhD is within the context of digital twins for complex manufacturing systems, enabling successful human-machine collaboration. Read more
Mathematics: Fully Funded EPSRC PHD Scholarship: Analysis and Numerics of Stochastic Partial Differential Equations
Funding providers. EPSRC. Subject areas. Mathematics. Project start date. 1 April 2023 (Enrolment open from mid–March). 1 July 2023 (Enrolment open from mid-June). Read more
Stochastic Optimization Models for Energy Systems
Research Group:
Operational Research
Applications are invited for one full-time PhD position in the newly founded research group led by Bismark Singh within the Operational Research group at the University of Southampton. Read more
Information theoretic methods for sensor management
Supervisory Team. Professor Daniel Clark. Project description. There is growing need for the development of autonomous systems that are able to make decisions automatically based on information that they receive from sensors. Read more
Adverse health, neurodevelopmental and educational outcomes in offspring following in utero exposure to maternal medication
Background. Pregnancy is a vulnerable period when the foetus undergoes rapid development; therefore, exposure to adverse risk factors can have lifelong implications. Read more
Safety assured Bayesian machine learning for reliable decision making in autonomous driving
Autonomous driving systems (ADS) using artificial intelligence techniques have seen rapid development in recent years. Autonomous driving is expected to reshape the current transportation system and may significantly impact human travel in the near future. Read more
Random β-transformations
One of the most classical examples of a dynamical system stem from β-transformations. Namely, self-maps on [0, 1] of the form x → {βx}, where β is a real number with |β| > 1 and where {βx} denotes the fractional part of βx. Read more
Bayesian computation for comparative judgement models
Comparative judgement models have been to used to analyse a wide range of problems from predicting the outcomes of football leagues to assessing students. Read more
General probability distributions for structured machine learning
Supervised machine learning models, such as artificial neural networks, are unstructured. They can be trained from data, but there is no possibility to include any additional knowledge, e.g. Read more
Funded PhD Studentship on Robust and Efficient Machine Learning Algorithms
Overview. I am looking for a PhD student with an interest in the design of efficient and robust machine learning and data processing algorithms using tools from applied probability, signal processing and statistical mechanics. Read more
Statistical machine learning for computational neuroscience
This project will focus on signal processing in neuroscience applications using state-of-the-art statistical machine learning techniques. Read more
Mathematical Modeling Ph.D.
Mathematical modeling is the process of developing mathematical descriptions, or models, of real-world systems. Read more
Ecological rationality of choices between gambles
What is optimal choice under uncertainty? This is a fundamental question in artificial intelligence, as well as in economics and in psychology. Read more