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We have 69 Applied Statistics PhD Projects, Programmes & Scholarships for Non-European Students
Applied Statistics PhD Projects, Programmes & Scholarships for Non-European Students
We have 69 Applied Statistics PhD Projects, Programmes & Scholarships for Non-European Students
The role of 24-hour behaviours and environmental exposures in optimising outcomes of diabetes in pregnancy.
The Leicester Lifestyle and Health Research Group (LLHRG). Project Highlights: . Read more
The University of Manchester - Department of Mathematics
The Department of Mathematics at Manchester is one of the largest Mathematics Departments in the UK and has been home to some of the brightest postgraduate and academic mathematicians. Read more
Epidemiological analyses of longevity of career in jumping horses
Background. The group you would join has worked with the FEI for a number of years using data-driven analysis to inform policy changes aimed at maximizing the welfare of the sports horse. Read more
Identifying drivers of language development in children’s interactions
The University of Manchester
Faculty of Humanities Doctoral Academy, School of Arts, Languages and Cultures
Language skills are vital to children’s ability to thrive in school and elsewhere. In order to support children’s language development we need to understand the aspects of early interaction that drive their learning (Donnellan et al, 2019; Down et al, 2015). Read more
Advancing Seasonal Weather Risk Assessment with Machine Learning
The increasing frequency and severity of extreme weather events, exacerbated by climate change, pose substantial risks to food security and result in widespread loss and damage to property. Read more
Bayesian Deep Learning for cosmology with Euclid
This project will focus on the combination of cutting-edge Deep Learning and statistical methods to enable cosmological inference from next-generation facilities such as the European Space Agency’s Euclid mission. 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