Postdoc: probabilistic ML and household energy usage

We are seeking a postdoctoral researcher at the University of Edinburgh to work on a project involving probabilistic inference and machine learning methods to help households understand and reduce their energy usage. This position is part of a new £2M project that will involve work on a data set of household energy usage of unprecedented size and scope.

The project would be suitable for candidates with a strong background in probabilistic machine learning who would like to gain more experience in applications of machine learning to sustainability.

The researcher will be a part of the School of Informatics at the University of Edinburgh. This is an opportunity to work in a world-leading machine learning group, including seven faculty in the area. More broadly, a recent international review described the School as an “elite” department of computer science in Europe, and in national research assessment exercises, the School of Informatics has consistently ranked at the top in the UK for research quality.

The postdoctoral researcher will be jointly supervised by Charles Sutton and Nigel Goddard , either of whom may be contacted for informal enquiries.

For more information about the project and information about how to apply, please see

Please note the closing date of FRIDAY 14 DECEMBER 2012, at 5pm UK time.