Research Fellow in machine learning and spatial statistics

Research Fellow in Machine Learning and Spatial Statistics

Research Fellow, Dept. of Statistics and Dept. of Computer Science, University of Warwick

An enthusiastic individual is sought as a postdoctoral research fellow to work in the area of machine learning and spatial statistics. The post is a joint appointment between the Departments of Computer Science and Statistics at the University of Warwick, and the successful applicant will be based at The Alan Turing Institute in London (a London allowance will be payable).

You will join a team of researchers affiliated with the ATI and led by Dr. Theo Damoulas, including research assistants and PhD students in computer science and statistics.

Responsibilities include performing high-quality research under the supervision of Dr. Theo Damoulas and Prof. Mark Steel, as part of the Turing-Lloyds Register Foundation funded project ‘Air Quality Sensor Networks’. This project is likely to involve hierarchical Bayesian models, nonparametric Bayesian inference, graphical models, active learning, experimental design, and issues in spatiotemporal inference such as non-stationarity and non-separability.

Requirements include a PhD or equivalent qualification in Statistics, Computer Science, or Applied Mathematics. You should have a strong background in one or more of the following areas: Bayesian inference, spatial statistics, probabilistic machine learning.

Salary: £29,799 - £38,833 per annum (plus £3000 London Allowance) Location: The Alan Turing Institute, London Fixed Term Position for 24 months

Closing date: 12 July 2018

We are an equal opportunities employer and welcome applications from all qualified candidates.

Requirements include a PhD or equivalent qualification in Statistics, Computer Science, or Applied Mathematics. You should have a strong background in one or more of the following areas: Bayesian inference, spatial statistics, probabilistic machine learning.