PhD Studentship available in the Statistics Group, Dept of Maths, Brunel University London.
The project will be in the area of large scale, high-dimensional Bayesian models for data integration and variable selection. Possible directions are mediation analysis, causal models, Bayesian graphical models, multi-variate regression models. The research will be highly motivated by applications in epidemiology integrating multiple high-dimensional data sets and clinical outcomes simultaneously, enabling researchers to model mediation effects of intermediate exposures and biological markers.
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 fees plus monthly bursary.
To send applications and for enquiries, please contact: Alex Lewin at Brunel University London ([log in to unmask])
Closing date 22 January
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