JOB: Research Assistant/Associate in Bayesian Statistics
School of Mathematics, Statistics and Physics, Newcastle University
Full advert: https://jobs.ncl.ac.uk/job/Newcastle-Research-AssistantAssociate-in-Bayesian... < https://jobs.ncl.ac.uk/job/Newcastle-Research-AssistantAssociate-in-Bayesian...
Applications are invited from outstanding individuals for a Research Assistant/Associate in Bayesian Statistics, to start from September 2022.
The project is at the forefront of Bayesian inference and aims to design a novel Bayesian methodology to implement Bayesian Additive Regression Trees (BART) models to deal with non-linear phenomena. In particular, the aim is to bridge the Loss-based methodology to the framework of BART, building on the previous works of Dr Cristiano Villa (the PI) and Prof. Fabrizio Leisen (the Co-I) on model selection, linear regression models and Gaussian graphical models.
The successful candidate will work on developing prior distributions to estimate the structure of the trees and the number of trees in a BART model, and building scalable and efficient computational tools to ease the implementation of the methodology.
The candidate must have a solid background on computational methods for Bayesian inference to develop efficient algorithms for the new proposed modelling framework. Within the project, the candidate will also perform theoretical modelling and data analysis, as well as disseminate the outputs through publications and presentations at scientific meetings.
The successful candidate will join the growing Statistics group at Newcastle University and interact with the established Statistics group at Nottingham University.
The position is offered on a fixed term basis for three years from the start date, or tenable until the project end date, whichever is soonest. Generous funds are available for travel, training and other support.
To apply, please complete the online application and attach a CV and covering letter. In your covering letter, please outline how you are either working towards, meet or exceed all the essential requirements for the role holder as outlined in the full advertisement, and highlight any expertise relevant to the described project.
For all information enquiries about the position, please contact Dr Cristiano Villa (cristiano.villa@newcastle.ac.uk< http://cristiano.villa@newcastle.ac.uk%3E) or Prof. Fabrizio Leisen ( fabrizio.leisen@nottingham.ac.ukhttp://fabrizio.leisen@nottingham.ac.uk - ).
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Cristiano Villa
Senior Lecturer in Statistics School of Mathematics, Statistics and Physics Newcastle University
https://www.ncl.ac.uk/maths-physics/people/profile/cristianovilla.html
Fabrizio Leisen
Professor of Statistics School of Mathematical Sciences University of Nottingham