PhD studentship in Bayesian statistics for high-dimensional data:
Possible projects in two areas. It would be possible to work on other related areas according to the student’s interests.
The project will be in the area of large scale, high-dimensional Bayesian models for data integration and variable selection. The research will be highly motivated by applications in chronic disease epidemiology, integrating multiple high-dimensional data sets simultaneously, enabling researchers to model mediation effects of intermediate exposures and biological markers.
Possible directions include: Bayesian models for high-dimensional longitudinal data, with variable selection and latent variables, Modelling mediation effects in high-dimensional epidemiological big data sets, Methods for exploring latent structure in Bayesian graphical models
This project will look at Bayesian methods for simultaneous clustering and variable selection. This is a challenging problem, to find latent structure in high-dimensional data whilst simultaneously discovering the variables which best predict this structure. The project will aim to extend Bayesian clustering, mixture or factor analysis models to incorporate automatic feature selection. Areas of application may be in epidemiology, health economics or bioinformatics.
The main project supervisor will be Dr Alex Lewin. The student will further have the opportunity to work with a team of people in Bayesian statistics, Epidemiology and Environment and Health researchers. The Statistics Group at Brunel has four faculty, all with expertise in Biostatistics/Bioinformatics and High-Dimensional analysis methods, and several PhD students. A new Research Fellow has recently been appointed to a research council funded project developing Bayesian methods and software for high-dimensional data integration in Epidemiology, and the PhD student will benefit from collaboration with this person and with the wider team involved in this project in the MRC Biostatistics Unit in Cambridge and in the MRC-HPA Centre for Environment and Health at Imperial College London.
The University will provide one PhD student scholarship for 3 years which will comprise Home/EU fees plus monthly bursary.
To send applications and for enquiries, please contact: Alex Lewin at Brunel University London ([log in to unmask])
Closing date 25 April
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