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We have 102 Applied Statistics PhD Projects, Programmes & Scholarships for Self-funded Students
Applied Statistics PhD Projects, Programmes & Scholarships for Self-funded Students
We have 102 Applied Statistics PhD Projects, Programmes & Scholarships for Self-funded Students
High Latitude Electrodynamics Data Assimilation for Operational Space Weather Forecasting
Space weather is, or is fast becoming, a critical interest across the space, aviation, defence, power delivery, navigation, and communications industries. Read more
Goal Driven Learning of Quantum Chemical Energy Surfaces using Multi-Fidelity Bayesian Optimization
AI_CDT_DecisionMaking. Details. In recent years, Machine Learning Interatomic Potentials (MLIPs), have become increasingly important in computational materials modelling. Read more
Computational Legal Analysis - Classifying and Understanding Remedies in Comparative Labour Law
Classifying and Understanding Remedies in Comparative Labour Law (CURE) is a 5-year comparative project, originally funded by the ERC and guaranteed by UKRI, based at the Department of Law, University of Manchester and led by Professor Aristea Koukiadaki. Read more
Computational Legal Analysis - Classifying and Understanding Remedies in Comparative Labour Law
Classifying and Understanding Remedies in Comparative Labour Law (CURE) is a 5-year comparative project, originally funded by the ERC and guaranteed by UKRI, based at the Department of Law, University of Manchester and led by Professor Aristea Koukiadaki. Read more
PhD in Civil Engineering - Advanced Simulation Capabilities for Reinforced Tubular Structures Under Complex Loading Conditions
Start date. 01 October 2025 or earlier. A fully funded PhD Studentship is available at the James Watt School of Engineering, University of Glasgow in collaboration with Freudenberg from 1st October 2025 (or earlier). Read more
Bridging Philosophy and Ecology: Ethical Decision-Making in Wild Salmonid Conservation
Supervisors. Fergus Chadwick (University of St Andrews). Gerard Hough (University of Aberdeen). Colin Bean (NatureScot). Thomas Cornulier (Biomathematics and Statistics Scotland). Read more
Project at University of Reading: Optimising above and belowground ecosystem services for sustainable crop production
UK agriculture could play a central role in reaching NET ZERO by 2050 and halting biodiversity loss. Agriculture is a significant contributor to UK emissions (10%), and intensive farming practices and habitat loss are key drivers of species declines. Read more
High-resolution Object Detection in Sea Clutter Enviroments
Research Group:
Centre for Doctoral Training - Sensing, Processing, and AI for Defence and Security
The recent advances in computational methods and data-adaptive approaches, opened a new possibility in using adaptive models for sea-clutter environments as a (non-stationary) stochastic process and design a high-resolution range-azimuth-Doppler detectors (3-dimensional problem). Read more
Discovering neutron star astrophysics from the study of radio pulsars
We welcome applicants to join Dr Greg Ashton for a project developing new approaches to study radio pulsars and discovery new neutron star astrophysics within the astronomy group at Royal Holloway. Read more
Understanding the optical signature of cancerous tissues (Early Cancer Institute Michael Cowan Non-Clinical PhD Studentship)
The Early Cancer Institute. The Early Cancer Institute at the University of Cambridge is the UK's only Institute dedicated to the early detection of cancer. Read more
Modelling progression risks in Barrett’s oesophagus (Early Cancer Institute Michael Cowan Non-Clinical PhD Studentship )
The Early Cancer Institute. The Early Cancer Institute at the University of Cambridge is the UK's only Institute dedicated to the early detection of cancer. Read more
Artificial Intelligence for gravitational-wave astronomy
We welcome applicants to join Dr Greg Ashton for a project developing new Artificial Intelligence approaches to gravitational-wave astronomy within the astronomy group at Royal Holloway. Read more
Machine learning for studying supernovae
Supernovae are the explosive deaths of certain types of star at the ends of their lives. They play an important role in the Universe, being the key distributors of heavy elements. Read more
PhD Studentship in “Applications of harmonic analysis in probability and equidistribution theory”
Classical Fourier analysis as well as abstract harmonic analysis on groups and manifolds provide powerful tools in a large number of areas including number theory, probability theory, equidistribution theory and optimal transport. Read more
(BBSRC NWD) Leveraging machine learning to uncover multimorbidity clusters in rheumatoid arthritis
Chronic inflammatory diseases such as rheumatoid arthritis (RA) are potentially life-ruining. Read more