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Statistics (applied statistics) PhD Projects, Programs & Scholarships

We have 40 Statistics (applied statistics) PhD Projects, Programs & Scholarships

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  Statistics, Physics and Population Dynamics (GREENMANCU20SCIO)
  Dr C Greenman, Dr A Nikoloulopoulos
Application Deadline: 30 January 2020

Funding Type

PhD Type

Population dynamics are concerned with how sets of entities (e.g. cells) change through time. Such changes can be mediated by internal factors (such as mutations in a cell) or externally (environmental factors), and require stochastic techniques to model their behavior.
  Spatial models for muscle fibre data
  Dr TM Davies, Dr M Schofield
Applications accepted all year round

Funding Type

PhD Type

In humans and other mammals, individual muscle fibres can be broadly classified into two distinct categories — "slow contracting" (type I) and "fast contracting" (type II).
  PhD Studentship in the School of Mathematics, Statistics and Physics - Integrating palaeontological data in phylogenetic analysis – developing a principled statistical model for morphological evolution
  Dr TMW Nye
Application Deadline: 17 January 2020

Funding Type

PhD Type

Number of awards. 1. Start date and duration. The post is for 42 months. Successful applicants will start in or before September 2020.
  Research Assistant in Bayesian Statistics applied to Decision Making/Behavioural Economics/Development Economics
  Prof F Vieider
Applications accepted all year round

Funding Type

PhD Type

The Economics Department at Ghent University (Belgium) has an open position for a research assistant applying Bayesian statistical methods to research questions at the intersection of decision making, behavioural economics, and development economics.
  PhD in Applied Ecology - Developing data-driven modelling in Applied Ecology
  Prof R Freckleton
Applications accepted all year round

Funding Type

PhD Type

We live in a changing world and a challenge for ecologists is to forecast how such changes will impact on natural populations. We tackle problems such as forest management, weed invasions and predicting the impacts of land management on populations of plants, insects and birds.
  EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa)

Funding Type

PhD Type

10 PhD studentships in Statistical Applied Mathematics at the University of Bath. EPSRC Centre for Doctoral Training in Mathematical Sciences.
  Cluster randomised trials methodology, Medical Statistics – PhD (Funded)
  Dr O Ukoumunne, Dr M Nunns, Dr Z Xiao, Prof T Ford
Application Deadline: 17 January 2020

Funding Type

PhD Type

The University of Exeter’s College of Medicine and Health in partnership with the National Institute for Health Research Applied Research Collaboration for the South West Peninsula (ARC), is inviting applications for a fully-funded PhD studentship.
  Stochastic models in health care: Analysis, control, and optimization
  Assoc Prof I Ziedins, Dr A Asanjarani
Applications accepted all year round

Funding Type

PhD Type

A PhD project in applied probability and/or operations research is offered at the University of Auckland, New Zealand, on “Stochastic models in health care.
  Approximate Bayesian Computation (ABC) for calibrating and evaluating Individual Based Models of fisheries
  Research Group: CENTA - Central England NERC Training Alliance
  Dr R Everitt
Application Deadline: 10 January 2020

Funding Type

PhD Type

Project Highlights. Spatially-explicit landscapes IBMs can show how populations change over time in response to management actions.
  Low rank approximations of matrices with a focus on statistical applications
  Dr JW Gillard, Prof A Zhigljavsky
Applications accepted all year round

Funding Type

PhD Type

This proposal will investigate the structured low-rank approximation (SLRA) problem. Broadly speaking, this work will involve a synergy of statistics, linear algebra and optimisation, and has relevance to problems in other disciplines.
  Advancing Methodology for Clinical Prediction
  Dr M Sperrin, Dr G P Martin
Applications accepted all year round

Funding Type

PhD Type

Clinical prediction models (CPMs) take what we know about a person and predict the probability of subsequent outcomes using a regression model or algorithm [1].
  Centre for Doctoral Training in Cloud Computing for Big Data

Funding Type

PhD Type

Data science is an exciting new inter-disciplinary field in which to work and do research. It is driving almost every area of science, engineering and commerce.
  PhD in choice modelling
  Prof Danny Campbell
Application Deadline: 16 December 2019

Funding Type

PhD Type

This PhD project will focus on the modelling of choices and subjective wellbeing. The project will make use of a large number of choice-based datasets in various applied fields of economics.
  Learning from the past to predict and reduce the risk of infectious disease pandemics
  Dr F Perez-Reche, Prof N Strachan
Applications accepted all year round

Funding Type

PhD Type

The World Health Organisation reports that infectious diseases cause 63% of childhood deaths and 48% of premature deaths. There is the ongoing risk of epidemics and pandemics that can cause widespread morbidity and mortality (Spanish flu, ebola, SARS, E.
  Quantitative Risk Assessment for Food Safety (allergens, microbial pathogens or chemical contaminants)
  Prof N Strachan, Dr F Perez-Reche
Applications accepted all year round

Funding Type

PhD Type

This project will use computational methods to assess risks. An expectation of the society we live in is that the food that we eat is safe.
  Dynamic prediction modelling in Parkinson’s disease
  Dr D McLernon, Dr A Macleod
Applications accepted all year round

Funding Type

PhD Type

1. Background to the project. Parkinson’s disease (PD) is a progressive, disabling, neurodegenerative disorder which is common in the elderly.
  PhD in Biostatistics – Statistical Methodology for Phase II Oncology Trials
  Dr M Grayling
Application Deadline: 24 January 2020

Funding Type

PhD Type

Number of awards. 1. Start date and duration. September 2020. The funding covers a three year PhD. Application closing date. 11 December 2019.
  Transferability of genetic risk scores for complex human diseases across diverse population groups
  Dr AM Morris, Dr J Bowes
Applications accepted all year round

Funding Type

PhD Type

Genome-wide association studies (GWAS) have been extremely successful in identifying DNA variants that are associated with a wide range of complex human traits and common diseases.
  Forecasting the Spatial-Temporal Evolution of Natural Hazards
  Dr M Naylor, Prof F Lindgren, Prof I Main
Application Deadline: 9 January 2020

Funding Type

PhD Type

Summary. You will develop a new Bayesian framework for forecasting the occurrence and evolution of natural hazards by adapting a cutting edge spatio-temporal modelling package, originally developed for ecological systems.
  Which one should we choose? Developing statistical models to explain and forecast joint decision making
  Dr C Calastri, Prof S Hess, Dr R P Mann
Application Deadline: 31 January 2020

Funding Type

PhD Type

Mathematical models are used to interpret and forecast human behaviour in many disciplines, ranging from patient safety to energy, transport and marketing.
  Big Data driven treatments for Pulmonary Fibrosis
  Prof Gisli Jenkins
Applications accepted all year round

Funding Type

PhD Type

We invite applications for a 3-year PhD position, funded by the University of Nottingham to study ‘Big Data driven treatments for Pulmonary Fibrosis’.
  Longitudinal trajectories of renal function, and dynamic prediction of progression to end-stage renal disease: a data-driven analysis and validation using regression and machine learning methods in a bi-national population-based cohort #NDORMS-2020/1
  Prof D Prieto-Alhambra, Dr V Strauss, Dr S Khalid, Dr D Robinson
Application Deadline: 10 January 2020

Funding Type

PhD Type

1. Prof Daniel Prieto-Alhambra. 2. Dr V Strauss. 3. Dr Sara Khalid. 4. Dr Danielle Robinson. 5. Dr Laurie Tomlinson. There is a scarcity of data on the natural history of chronic kidney disease (CKD) in the general population, and on markers of rapid progression to end-stage renal disease (ESRD).
  Strategies of handling missing data in federated data network #NDORMS 2020/9
  Prof D Prieto-Alhambra, Dr V Strauss, Dr A Delmestri, Prof I Petersen
Application Deadline: 10 January 2020

Funding Type

PhD Type

The use of electronic healthcare data is increasingly being proposed as a source of evidence to support drug development and regulatory decision making but also to understand the pathogenesis of diseases.
  Statistical Data Analysis of medical health records
  Prof B Schelter, Prof M Thiel
Applications accepted all year round

Funding Type

PhD Type

In this project we will use advanced statistical and mathematical modelling techniques to analyse patient health records in order to support medical decision making.
  ONE Planet DTP - Integrated modelling to predict early signs of land degradation (OP20297)
  Dr M Montero-Calasanz
Application Deadline: 31 January 2020

Funding Type

PhD Type

2.2 million tonnes of topsoil is eroded annually in the UK and over 17% of arable land show signs of degradation (Fig.1). Reversing soil degradation and restoring fertility by 2030 is an aim of the government’s 25 Year Environment Plan but there are insufficient data on the health of UK soils.
  Improving UK air quality forecasts during heatwaves
  Dr R Hossaini, Prof J Wild
Application Deadline: 17 January 2020

Funding Type

PhD Type

Poor air quality is a major global health concern affecting all industrialised nations and virtually all of society. Worldwide, ~3 million deaths are attributable to air pollution annually (World Health Organization), with ~40,000 premature deaths in the UK alone (Royal College of Physicians).
  Modelling the impact of interventions in atrial fibrillation, the commonest cardiac rhythm disorder and a global healthcare problem
  Dr G Czanner, Dr I Olier, Prof P Lisboa, Prof G Lip
Applications accepted all year round

Funding Type

PhD Type

Project description. It is known that the risk of developing CVD is increasing in the UK along with the rest of the World. It is believed that the culprits are lifestyle and environmental factors.
  Statistical and machine learning methods for risk prediction of cardiovascular diseases from complex longitudinal data
  Dr G Czanner, Dr I Olier, Prof P Lisboa, Prof G Lip
Applications accepted all year round

Funding Type

PhD Type

Project description. Risk prediction models are used in clinical decision making and are used to help patients make an informed choice about their treatment.
  Bayesian Uncertainty Quantification for Clustering Problems
  Research Group: Statistics
  Dr W Yoo, Dr S Liverani
Applications accepted all year round

Funding Type

PhD Type

The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing either in September 2020 for students seeking funding, or in January 2020 or April 2020 for self-funded students.
  Integrative statistical inference methods for eukaryotic gene regulation with applications to embryonic stem cell differentiation
  Dr I Iqbal, Prof M Rattray, Prof A Sharrocks
Applications accepted all year round

Funding Type

PhD Type

Embryonic stem cells (ESCs) can differentiate into different cell types through intermediary cell states and deeper understanding of the regulatory control underlying these differentiation stages is a very important topic in the study of mammalian development (Yang et al., 2014 & 2019).
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