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stochastic PhD Projects, Programmes & Scholarships
We have 33 stochastic PhD Projects, Programmes & Scholarships
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
Numerical Algorithms and Analysis for Deterministic and Stochastic Systems
Details. Complex systems in biology, chemistry, and physics are often modelled using ordinary/partial/stochastic differential equations. Read more
Mathematics: UKRI and Swansea University Funded PhD Scholarship: Optimal Problems under Contagious Markets
Funding provider(s): UKRI and Faculty of Science and Engineering . Subject area(s): Stochastic Optimal Controls, Point Processes, insurance strategies, regime switchings, and Risk Uncertainty. Read more
Learning Quantized Neural Networks and Discrete Representations
Description. The topic is on the intersection of modern machine learning and computer vision. Weights and activations of neural networks can be quantized to be represented with a few bits only. 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
Scalable In-Memory Computing Architectures for AI
The Centre for Electronics Frontiers (CEF) led by Regius Chair of Engineering Prof Prodromakis, brings together diverse and interdisciplinary expertise for transforming modern society through technology. Read more
Dynamical Low-Rank Approximation for Uncertainty Quantification: Bridging Theory and Practice in Large-Scale Problems
High-dimensional problems are crucial in diverse scientific, engineering, and real-world applications. These problems appear in complex, large-scale scenarios. 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
Direct numerical simulation of polymeric-fluid flows
Polymers and turbulence are two of the most difficult problems in statistical physics. In the past, the study of polymeric liquids was divided in two categories. Read more
Foundations of deep learning for scalable computational imaging
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 foundational deep learning methodology for computational imaging in astronomy and/or medicine. Read more
The theory of non-equilibrium information processing in molecular systems
We invite applications for a 4-year PhD studentship on the theory of non-equilibrium information processing in molecular systems, with a start date of October 2025. Read more
Last chance to apply
Chemical Engineering: Fully Funded EPSRC DTP and Swansea University PhD Scholarship: Design, manufacturing and testing of “living” cellular microfluidic sensors
Funding providers: Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Partnerships (DTP) and Swansea University's Faculty of Science and Engineering. Read more
Dynamic digital scheduling for optimal outfitting of naval ships
During the manufacture of a modern naval ship, one aim is to maximise the amount of equipment, pipework, etc. installed during the initial build process. Read more
EPSRC DTP PhD studentship in Mathematical analysis of runaway electrons in Tokamak reactors
Research Group:
Mathematical Analysis
Mathematical analysis of runaway electrons in Tokamak reactors. The studentship project on mathematical kinetic theory will open mathematical research into the genesis of runaway electrons in fusion reactors. Read more