or
Continue with FacebookLooking to list your PhD opportunities? Log in here.
We have 211 Statistics PhD Research Projects for Self-funded Students
Statistics PhD Research Projects for Self-funded Students
We have 211 Statistics PhD Research Projects for Self-funded Students
Inferring Events from Phylogenetic Analysis of Eyewitness Testimony in the Historical and Forensic Record
This project will consider if we can use phylogenetic analysis to correct for imperfections in eyewitness testimony. Eyewitness testimony from events with multiple witnesses is often inconsistent and sometime contradictory. Read more
Improved survival analyses in molecular cancer studies
Improved survival (whether this is literal survival, time to a change in symptoms, or time to disease progression) is a key outcome in cancer research. Read more
Identifying complex spatio-temporal biomarkers of brain diseases
Bayesian models today are providing the tools to explore the complexity of brain architecture. Therefore, there is a crucial need for leading researchers with an in-depth comprehension of the current challenges in neuroscience and the quantitative skills to develop cutting-edge solutions. Read more
High-dimensional functional time series modelling of environmental datasets
Research Group:
Division of Statistics
In a dynamic time-series model, selecting the appropriate lag order is crucial for understanding the predictive relationships among variables and generating accurate forecasts. Read more
Hidden Markov models for spatially structured populations
Hidden Markov models (HMMs) offer a very powerful, flexible, and efficient structure for likelihood computation. They’re a popular tool for problems in statistical ecology since the structure often has an associated, and insightful, ecological interpretation for the system being modelled. Read more
Bayesian identifiability for log-linear models
Log-linear modelling is the standard approach for investigating the full joint dependence structure between categorical variables. Read more
Efficient and accurate estimation of population trends with citizen science data
Traditionally ecological data are collected through designed experiments, however in recent years data collection has been revolutionised citizen science. Read more
Development of an immunoinformatics and artificial intelligence based computational platform for vaccine discovery and design
Research Group:
Medicine
Advanced next generation sequencing and metagenomics analysis with diverse bioinformatics pipeline have revolutionised the discovery of novel viruses. Read more
Nuclear-Powered Space Propulsion and Terrestrial Reactors: Advanced Modelling of Particulate Fuel Behaviour
Saturn_Nuclear_CDT. The University of Manchester invites applications for a funded PhD position focused on developing a cutting-edge computational framework to model particulate fuel behaviour in nuclear reactors designed for both space propulsion and terrestrial applications. Read more
Cognitive analytics of multiple long-term conditions in Northern Ireland and India
Research Group:
Medicine
Multiple long-term conditions (MLTC) also referred as multimorbidity means when a person has more than one chronic disease1. MLTC has emerged as a major global public health issue due to its associated adverse health outcome e.g., disability, poor quality of life, mortality, and increased health expenditure2,3. Read more
Robust and scalable methods for hierarchical models in environmental epidemiology, funded PhD in Mathematics. Ref: 5458
Location. Mathematics and Statistics, Streatham Campus, Exeter. The University of Exeter’s Department of Mathematics and Statistics is inviting applications for a PhD studentship fully-funded by the faculty of Environment, Science and Economy to commence on 28 April 2025 or as soon as possible thereafter. Read more
Can a brief co-designed lifestyle intervention be used to reduce stress and improve wellbeing amongst community-based healthcare workers and their families? (Aston University)
This is an opportunity to study a fully-funded PhD in both Australia and the UK, and to work with internationally recognised researchers in child health and neurodevelopment. Read more
Funded PhD Studentship in Statistics
Research Group:
School of Mathematics
Research covers key areas of theoretical and applied statistics. This reaches from the study of statistical methodologies in statistical learning, spatial models, functional data to applications in medicine, biology, geoscience, finance and insurance. Read more
Funded PhD Studentship in Probability
Research Group:
School of Mathematics
Research covers key areas of probability and stochastic analysis. Read more
Funded PhD Studentship in Financial and Actuarial Mathematics
Research Group:
School of Mathematics
Research covers key areas of probability and statistics with applications to finance and insurance. Read more