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PhD opportunities: Applied Statistics

Compare 40 doctoral research opportunities connected with Applied Statistics, including project summaries, funding and application deadlines.

Applied Statistics

Environmentally sustainable creel fisheries (based at Heriot Watt Orkney campus)

Heriot-Watt University

About the Project Marine regions around the world encounter similar ecological challenges linked to fishing activities, including those arising from fisheries that use passive or static gear such as traps. Passive gear fisheries (e.g., creels) are often deemed sustainable compared to mobile bottom towed gear fisheries, as they are associated with lower fuel use and seabed damage [1]. However, passive gears are often specifically associated with some other challenges (e.g.

Location
Edinburgh, United Kingdom, United Kingdom
Deadline
30 September 2026
Funding
Funded PhD Project (Students Worldwide)

Applied Statistics

Evaluating and applying advanced statistical methods for hierarchical composite outcomes (Win Ratio) in complex intervention trials in low-and middle-income countries

The University of Manchester

About the Project Applications are now open for a unique studentship opportunity based in Pakistan. The NIHR-funded ACROSS (Affordable Cardiac Rehabilitation: An Outreach Inter-Disciplinary Strategic Study) aims to develop a culturally adapted and affordable home-based rehabilitation programme for people with multiple long-term health conditions including heart disease and anxiety/depression.

Location
Manchester, United Kingdom, United Kingdom
Deadline
15 October 2026
Funding
Funded PhD Project (Students Worldwide)

Applied Statistics

Risk of Major Adverse Cardiovascular Events (MACE) in Patients with Psoriasis

The University of Manchester

About the Project This PhD studentship is funded by a psoriasis association research grant. Background: Psoriasis is a chronic inflammatory skin disease associated with several comorbidities, including major adverse cardiovascular events (MACE), which are among the leading causes of death worldwide. Although some studies suggest that people with psoriasis have an increased risk of MACE compared with the general population, others have reported no significant association.

Location
Manchester, United Kingdom, United Kingdom
Deadline
15 October 2026
Funding
Funded PhD Project (Students Worldwide)

Applied Statistics

GW4 BioMed3 MRC DLP PhD project: Turning up the volume: plasmid copy number and gene duplications as drivers of antimicrobial resistance evolution

University of Bath

About the Project This project is one of several in competition for funding from the GW4 BioMed3 MRC Doctoral Landscape Programme (DLP), which is offering up to 17 studentships for entry in September 2027. The partnership brings together the Universities of Bath, Bristol, Cardiff and Exeter to develop the next generation of biomedical researchers.

Location
Bath, United Kingdom, United Kingdom
Deadline
21 October 2026
Funding
Competition Funded PhD Project (Students Worldwide)

Applied Statistics

Dependence modelling using truncated vine copulas with applications (NIKOLOULOPOULOS_U27EMPSFPF)

University of East Anglia

About the Project Primary Supervisor: Dr. Aristidis K. Nikoloulopoulos Multivariate response data abound in many applications including insurance, risk management, finance, psychometrics, health and environmental sciences. Data from these application areas have different dependence structures. While a multivariate distribution fully encodes this dependence, the tractable families used in practice often impose restrictive marginal or dependence structures.

Location
Norwich, United Kingdom, United Kingdom
Deadline
30 November 2026
Funding
Self-Funded PhD Students Only

Applied Statistics

Unsupervised Statistical Learning for In-Situ Anomaly Detection in LPBF

University of Edinburgh

About the Project In-situ optical spectroscopy during Laser Powder Bed Fusion (LPBF) captures high-resolution signals encoding the physical state of the melt pool. However, this data presents a formidable statistical challenge: observations are strongly non-i.i.d., exhibiting spatiotemporal autocorrelation, directional asymmetry from moving laser paths, and complex thermal dynamics.

Location
Edinburgh, United Kingdom, United Kingdom
Deadline
14 December 2026
Funding
Self-Funded PhD Students Only

Applied Statistics

Astrophysical interpretation of gravitational waves with space-based observatories.

Cardiff University

About the Project Gravitational-wave astronomy was pioneered in September 2015 with the first direct observation of gravitational waves by the Laser Interferometer Gravitational-wave Observatory (LIGO). A long time ago, far, far away two black holes spiralled into each other and merged, deforming space-time in the process. Those deformations propagated as waves, carrying information about the properties of the collision of the two black holes.

Location
Cardiff, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Applied Statistics

Bayesian Index Tracking: optimisation by sampling

University of Sheffield

About the Project Index trackers (ETFs, index funds, index mutual funds) aim to replicate the return of a reference equity index while keeping implementation frictions---notably turnover and trading costs---under control. Index tracking is a passive investment approach that frequently beats their actively managed counterparts over the long term.

Location
Sheffield, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Applied Statistics

Causal inference and trial emulation for ecological and/or environmental observational data

University of St Andrews

About the Project Conducting formal causal inference for ecological and/or environmental data is challenging due to the complex observational processes that are usually involved. The propensity score method allows the estimation of causal effects in non-experimental studies, however this is dependent on constructing emulated experiments to ensure independence between the observation process and treatment allocation.

Location
St Andrews, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Competition Funded PhD Project (Students Worldwide)

Applied Statistics

Data analytics and artificial intelligence to predict length of stay, readmission, and mortality after colorectal cancer surgery

University of Portsmouth

About the Project Applications are invited for a self-funded, 3 year full-time or 6 year part-time PhD project. The PhD will be based in the School of Electrical and Mechanical Engineering and will be supervised by Dr Shamsul Masum , Dr Edward Smart and Professor Jim Khan (Consultant from Portsmouth Hospital University Trust).

Location
Portsmouth, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Applied Statistics

Development of an AI video-based tool for quality assessment of robotic cholecystectomy

University of Portsmouth

About the Project Applications are invited for a self-funded, 3 year full-time or 6 year part-time PhD project. The PhD will be based in the School of Electrical and Mechanical Engineering and will be supervised by Dr Shamsul Masum , Dr John Chiverton and Dr Jennifer Straatman (Consultant from Portsmouth Hospital University Trust). Robotic cholecystectomy is a common procedure, yet variation in surgical technique impacts patient outcomes.

Location
Portsmouth, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Applied Statistics

EASTBIO: Tracing the fitness effects of new mutations across evolutionary timescales

University of St Andrews

About the Project Mutations are the raw material of evolution: they generate the variation on which natural selection acts. Understanding their fate is therefore key to a fundamental question in evolutionary biology: how do species adapt to ever-changing environments? Mutations can be deleterious, advantageous, or neutral, depending on whether they decrease, increase, or have no effect on fitness (Moutinho 2020).

Location
St Andrews, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Competition Funded PhD Project (Students Worldwide)

Applied Statistics

Generative Bayesian Inference for Remote Sensing Inverse Problems (GENESIS-RS)

Cardiff University

About the Project Project Description Remote sensing measurements provide indirect, noisy, and often incomplete observations of environmental systems. Tasks such as super-resolution, SAR despeckling, and spectral unmixing are fundamentally ill-posed inverse problems, yet most modern deep learning approaches focus on producing point estimates and lack reliable uncertainty quantification.

Location
Cardiff, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Applied Statistics

Geo-Aware Graph Learning for Transferable Flood Mapping from Earth Observation Data (GRAFT)

Cardiff University

About the Project Project Description Flood mapping from Earth observation (EO) data is a critical input to disaster risk management and climate resilience planning. However, machine learning models for flood detection and flood susceptibility mapping often struggle to generalise when applied to new geographical regions.

Location
Cardiff, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Applied Statistics

Identifying critical pathways regulating autoimmunity in immuno-oncology and arthritis patients

The University of Manchester

About the Project Background: Immune checkpoint inhibitors (CPIs) such as BLOCKING antibodies targeting CTLA4 (e.g. ipilimumab) have revolutionised the treatment of metastatic cancers by offering long-term remission, by boosting the immune response. Unfortunately, these agents are associated with serious autoimmune adverse events.

Location
Manchester, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Applied Statistics

Improved survival analyses in molecular cancer studies

University of St Andrews

About the Project 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. Most applications of survival analysis in the area use standard approaches, but the manner in which events are defined may bias these. Estimating and addressing such biases may be one strand of this project.

Location
St Andrews, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Competition Funded PhD Project (Students Worldwide)

Applied Statistics

Improving estimates of uncertainty in wildlife population assessments

University of St Andrews

About the Project Reliable estimates of wildlife population size are fundamental to effective management and conservation. One important component of reliability is the precision (or, conversely, variance) of the estimate.

Location
St Andrews, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Competition Funded PhD Project (Students Worldwide)

Applied Statistics

Improving meta-analysis of complex healthcare interventions: Application to chronic obstructive pulmonary disease

University of Leicester

About the Project Health and social care interventions—like those for quitting smoking or managing weight—are often made up of several parts. For example, a smoking cessation programme might include motivational sessions, behaviour-change strategies, and different delivery formats (online, in-person, group sessions) [1]. These programmes can vary in intensity, setting, and who delivers them.

Location
Leicester, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Applied Statistics

Improving the Translation of Diagnostic Test Accuracy Research Into Real‑World Clinical Practice Using Routine Health Data and Advanced Meta‑Analysis Methods

University of Birmingham

About the Project Diagnostic tests are central to effective clinical decision‑making, yet the performance reported in research studies often differs markedly from that observed in everyday NHS settings. Variability in disease prevalence, workflow, patient presentation, and clinical thresholds can significantly influence sensitivity, specificity, and predictive values.

Location
Birmingham, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Applied Statistics

Inferring Events from Phylogenetic Analysis of Eyewitness Testimony in the Historical and Forensic Record

University of St Andrews

About the Project 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. If we think of these inconsistencies as mutations from a common ancestor with perfect recall (but not necessarily perspective) on the event, can we obtain an objective estimate of what the collected witnesses saw?

Location
St Andrews, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Competition Funded PhD Project (Students Worldwide)

Applied Statistics

Integrated Platform for Geostatistical and Physics-based Modelling and AI Machine Learning for Environmental Contamination Assessment

University of Salford

About the Project Environmental contamination is a broad topical issue in the concern of sustainable development and climate change. Economic development of human society has resulted in global large destruction and contamination on soil, water, air, and general natural resources.

Location
Manchester, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Applied Statistics

Investigation of Intradialytic Hypotension (IDH) in Haemodialysis Patients

University of Portsmouth

About the Project Applications are invited for a self-funded, 3 year full-time or 6 year part-time PhD project. The PhD will be based in the School of Electrical and Mechanical Engineering and will be supervised by Dr Shamsul Masum , Dr Edward Smart and Nick Sangala (Consultant from Portsmouth Hospital University Trust). The work on this project will: Aim to identify trends in patients with IDH using routinely collected hospital data.

Location
Portsmouth, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Applied Statistics

Learning to Optimize for Data Science

University of Birmingham

About the Project Optimization algorithms are fundamental to modern data science and machine learning, underpinning applications from training AI models to solving large-scale inverse problems. However, traditional optimization methods are usually based on fixed update rules and often require substantial manual tuning. This PhD project will investigate Learning to Optimize (L2O) , where machine learning is used to automatically design or improve optimization algorithms.

Location
Birmingham, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Competition Funded PhD Project (Students Worldwide)

Applied Statistics

Local-level governance and environmental protection in Brazil

University of Reading

About the Project About the Project Local authorities are often the ones in charge of taking substantive measures to protect the environment. Yet, the existing scholarship has devoted scant attention to how local-level actors deal with climate change.

Location
Reading, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Applied Statistics

Machine learning for studying supernovae

Royal Holloway, University of London

About the Project 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. With surveys such as the Zwicky Transient Facility and ATLAS, the numbers of these events discovered every year has risen to the 1000s, revealing a whole new variety of supernovae never observed before.

Location
Egham, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Competition Funded PhD Project (Students Worldwide)

Applied Statistics

Methodological Innovations for Analysing Multiple Birth Outcomes in National Perinatal Surveillance

University of Leicester

About the Project Project Description We invite applications for a PhD project focused on developing and evaluating statistical methods for analysing outcomes in multiple pregnancies, using data from the MBRRACE-UK national perinatal surveillance programme. This project addresses key methodological challenges in understanding perinatal mortality among twins and other multiples, with real-world impact on national reporting and clinical practice.

Location
Leicester, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Applied Statistics

Movement through space and time; realistic movement for species abundance methods

University of St Andrews

About the Project Evidence-based conservation and ecology are reliant on wildlife surveys. As a result, there exists a range of methods that have been developed specifically with the aim of estimating animal abundance and animal distribution. Traditionally data have been collected by humans and are often modelled as a ‘snapshot’ of the system at a particular moment in time. However, we often have more information available to us such as a precise time of observation.

Location
St Andrews, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Competition Funded PhD Project (Students Worldwide)

Applied Statistics

Obesity, Prostate Cancer and DNA methylation

University of St Andrews

About the Project Prostate Cancer is the most common cancer in men in the US and UK. Obesity is a known risk factor for many cancers and levels of obesity are increasing. Despite the disease and potential risk factor being so common, the evidence for obesity as a risk factor for prostate cancer is inconsistent – as evidenced by a recent meta-analysis (despite the meta-analysis itself not being entirely satisfactory).

Location
St Andrews, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Competition Funded PhD Project (Students Worldwide)

Applied Statistics

Performance of Artificial Intelligence versus standard Genome-Wide Association Studies to identify molecular pathways in autoimmune diseases for precision medicine across ethnicities.

The University of Manchester

About the Project Background: Genome-Wide Association Studies (GWAS) were successful in identifying 100s of genetic variants associated with autoimmune disease susceptibility. However, the value of Polygenic Risk Scores (PRS) for clinical medicine is limited. When considered in aggregate, genetic variants identified so far explain only a small proportion of genetic liability to disease (missing heritability), because of methodological limitations.

Location
Manchester, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Applied Statistics

Personalised Survival Prediction and Treatment Optimisation in Oesophageal Cancer

University of Portsmouth

About the Project Applications are invited for a self-funded, 3 year full-time or 6 year part-time PhD project. The PhD will be based in the School of Electrical and Mechanical Engineering and will be supervised by Dr Shamsul Masum , Dr Edward Smart and Philip Pucher (Consultant from Portsmouth Hospital University Trust).

Location
Portsmouth, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Applied Statistics

Reconstruction of atomic resolution images from sparse datasets of radiation sensitive materials in scanning transmission electron microscopy

University of Sheffield

About the Project Scanning transmission electron microscopy is an imaging method that raster scans a focused high-energy electron beam across a thin sample and measures the electron intensity behind the specimen with either a small detector placed on axis (bright field) or a larger, ring-like detector placed off-axis (annular dark field).

Location
Sheffield, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Applied Statistics

Rethinking embodied carbon accounting of construction materials: from attributional snapshots to consequential causal modelling

Edinburgh Napier University

About the Project The construction sector is one of the largest global sources of greenhouse gas emissions, primarily due to the production of carbon-intensive materials such as cement and steel. Efforts to reduce these emissions (through building standards, procurement rules, labelling schemes, and corporate reporting) rely almost entirely on attributional life cycle assessment (LCA) data and methods.

Location
Edinburgh, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Applied Statistics

Simulation-based Inference of gravitational waves signals from black holes and neutron stars

Cardiff University

About the Project Black holes and neutron stars are the densest objects in the universe, well beyond what we can produce in a laboratory and at the very edge of our understanding of physics. They lead to puzzling physical consequences, in particular regarding the behaviour of space and time.

Location
Cardiff, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Applied Statistics

Statistical Methods for Small-Area Estimation and Reporting of Perinatal Mortality

University of Leicester

About the Project Project overview The UK’s national surveillance programme MBRRACE-UK provides robust estimates of perinatal mortality to maternity and neonatal care providers. However, geographically defined organisations, such as Integrated Care Boards (ICBs) and local authorities, also require reliable estimates for smaller areas to target interventions effectively. Direct estimates for these areas are often unstable due to small sample sizes and rare events.

Location
Leicester, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Applied Statistics

Stochastic modelling and inference for live-cell gene expression time-series data to unravel the mechanisms of stem cell differentiation

University of St Andrews

About the Project This project will develop statistical methodology for noisy time-series data and stochastic computational models to analyse live-cell imaging data provided by the lab of our collaborator Dr Cerys Manning at the University of Manchester. Live-cell imaging is a powerful technique for real-time observation of the activity of genes in single cells.

Location
St Andrews, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Competition Funded PhD Project (Students Worldwide)

Applied Statistics

Stochastic simulation, analysis, and inference of non-linear dynamical systems

University of St Andrews

About the Project This project aims to create a new framework for studying the dynamics of systems that exhibit periodic behaviour or multiple equilibria. These types of dynamic behaviours are common in various fields such as molecular biology and epidemiology. Examples include the circadian clocks, oscillatory responses to stress signals, and the specialisation of stem cells, as well as epidemic oscillations driven by public awareness.

Location
St Andrews, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Competition Funded PhD Project (Students Worldwide)

Applied Statistics

Understanding the evolution of structural variation of the drug metabolising gene CYP2D6

University of Leicester

About the Project The way our bodies process medicines is not uniform across individuals, and a significant part of that variation is written into our DNA. The gene CYP2D6 encodes a cytochrome P450 enzyme responsible for metabolising approximately 25% of all clinically prescribed drugs, including opioid pain relief, antidepressants, and antipsychotics.

Location
Leicester, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Applied Statistics

Understanding the uncertainty in the decomposition of cancer gene or protein expression data

University of St Andrews

About the Project Many tools exist that will take the expression profile of a tumour sample and decompose that signal into components arising from different tissue types (e.g. tumour cells, benign cells, immune cells, fibroblasts, stromal cells etc.).

Location
St Andrews, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Competition Funded PhD Project (Students Worldwide)

Applied Statistics

Unravelling complex somatic genomic variations: advancing early diagnostics and precision medicine

The University of Manchester

About the Project Complex somatic structural variations (SVs) in genomic regions such as centromeres and telomeres play a crucial role in driving many genetic disorders. For example, large SVs in centromeric regions contribute to chromosomal instability (CIN) and therapy resistance in cancers like glioblastoma and lung cancer.

Location
Manchester, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only

Applied Statistics

Using Routine Data to Improve Perinatal Outcome Surveillance Reporting

University of Leicester

About the Project We invite applications for a PhD project aimed at improving the methods for national perinatal surveillance using real-world healthcare data. This project will use data from the MBRRACE-UK perinatal surveillance programme, which monitors stillbirths and neonatal deaths across the UK, to illustrate and test methodological innovations.

Location
Leicester, United Kingdom, United Kingdom
Deadline
Year-round applications
Funding
Self-Funded PhD Students Only