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Statistics PhD Projects, Programmes & Scholarships
We have 66 Statistics PhD Projects, Programmes & Scholarships
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Time changed multivariate models: calibration and fit on financial data
Abstract. Multi-asset derivative pricing is still an active field of research in financial modeling, calling for multivariate stochastic models that reproduce well-known stylized facts such as skewness and excess kurtosis of marginal return distributions. Read more
Stochastic modelling of subsurface water flow
Abstract. The subsurface water flow in natural formations with multiscale heterogeneities exhibit complex patterns. Our aim is to efficiently represent this motion by resorting to stochastic models for anomalous transport (e.g., continuous time random walks, Lévy flights, Lévy walks). Read more
Duality methods in Bayesian inference for hidden Markov models
Abstract. The project deals with Bayesian inference on the trajectory of a diffusion process or on the parameters that characterize its drift and volatility, under the assumption of a hidden Markov model framework with noisy data collection. Read more
PhD position in Palaeogenetics
In the project, new population-genetic and biostatistical methods will be developed on the computer in order to uncover genetic structures within human populations of the past. Read more
PhD Scholarship in Population Studies / Demography: to investigate spatial and contextual aspects of migrant and ethnic minority employment, family, and housing in the UK.
We invite applications from qualified and highly motivated students for a 3-year PhD studentship to investigate spatial and contextual aspects of migrant and ethnic minority employment, family, and housing in the UK. The study will compare migrant life trajectories between different regions and/or will investigate the effect of contextual factors on migrant employment, family, and housing. Read more
Numerical Algorithms for Molecular Systems and Data Science
Details. Stochastic differential equations (SDEs) are widely used in science and engineering in order to model systems where random effects play a significant role. Read more
PhD candidate (m/f/d) in Computational Biology
We are offering a position, available immediately, as a. PhD candidate (m/f/d) in Computational Biology. About us. The Schirmer lab is part of the ZIEL - Institute for Food & Health at the Technical University of Munich and located in Freising-Weihenstephan. Read more
Data Analytics and Sensometrics
We are seeking a candidate for a fantastic opportunity to study for a PhD in Data Analytics and Sensometrics. We are seeking a PhD candidate for a research project funded by the Riddet Institute (. Read more
Machine learning methods for the human microbiome (QUINCE_E21EPSRC)
This project based in Dr Quince’s group at the Earlham Institute (. https://www.earlham.ac.uk/quince-group). will use machine learning to develop new computational methods for the integrated analysis of metagenomics and metabolomics data from the human microbiome. Read more
Machine Learning Meets Sequential Monte Carlo Methods
This project lies on the intersection of modern machine learning techniques and sequential Monte Carlo methods. Sequential Monte Carlo (SMC) methods, e.g. Read more
Last chance to apply
Gut microbiome in Parkinson Disease and application of machine learning to gut microbiome
Growing evidence indicates a connection between Parkinsons’ Disease (PD) and the gut. Intestinal disorders, including constipation and inflammatory bowel disease, often precede diagnostic motor symptoms by decades. Read more
Data integration and hypothesis testing for brain tumour multi-omics data
This project aims to develop computational and statistical methods for the integrated learning of biological networks from multiple sources to further our understanding of Glioblastoma Multiforme (GBM), a highly aggressive primary brain tumour for which there is currently no cure. Read more
(NIHR) Primary health care financing and local governance in sub-Saharan settings
Entry Requirements. Applicants should have obtained at least an Upper Second class honours degree (or equivalent) in a discipline relevant to primary care research. Read more
EPSRC Funded Project: Faster Uncertainty Quantification of Hydrocodes (EPSRC CDT in Distributed Algorithms)
This PhD project is part of the. University of Liverpool's. Centre for Doctoral Training in Distributed Algorithms (CDT). The What, How and Where of Next-Generation Data Science. Read more
PhD Studentship in Mathematics on Limit theorems for random convex hulls
Convex hulls are employed as tractable yet reasonably accurate approximation for sets of more complicated structure. Selecting the sets at random, for example taking a finite number of points in space according to some probability distribution, produces a random convex hull. Read more