Research Fellow in machine learning and spatial statistics

The International Society for Bayesian Analysis; City Of London; On-site; GBP 29,000 - 39,000; Full time

Job summary

A leading research institution is seeking a Research Fellow in Machine Learning and Spatial Statistics. This role involves high-quality research under notable supervision, focusing on Bayesian models and spatial statistics. Located at The Alan Turing Institute in London, the position offers a salary of £29,799 – £38,833 per annum plus a London allowance. The successful candidate will have a PhD or equivalent qualification and a strong background in related fields.

Benefits

London allowance

Qualifications

• Strong background in Bayesian inference.
• Experience with spatial statistics.
• Familiarity with probabilistic machine learning.

Responsibilities

• Perform high-quality research under supervision.
• Work on the project ‘Air Quality Sensor Networks’.
• Involve in hierarchical Bayesian models and experimental design.

Skills

Bayesian inference

Spatial statistics

Probabilistic machine learning

Education

PhD or equivalent qualification in Statistics, Computer Science, or Applied Mathematics

Job description

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.