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Tenured faculty positions in Machine Learning and AI at the University of Edinburgh

Country : UK - United Kingdom

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We are hiring faculty in machine learning and artificial intelligence to join the School of Informatics, at the University of Edinburgh, as part of a multiyear expansion in these areas. We seek candidates with research interests and experience in the theory and application of machine learning and artificial intelligence, with substantial publication records and strong research potential.
Positions are available at the rank of lecturer, or for an exceptional candidate, to the more senior ranks of senior lecturer or reader. A lectureship is a full-time academic position roughly equivalent to an tenured assistant professorship in other countries; senior lecturer and reader are roughly equivalent to tenured associate professor. Candidates from all areas of machine learning and artificial intelligence will be considered.
The School of Informatics is one of the largest research concentrations of computer science and artificial intelligence in Europe, with 117 faculty, 120 postdoctoral researchers, and 370 PhD students. In machine learning, the University of Edinburgh has one of the largest research groups in Europe, with faculty including Chris Williams, Chris Bishop, Michael Gutmann, Iain Murray, Guido Sanguinetti, Amos Storkey, and Charles Sutton. We also benefit from close links to other active areas of artificial intelligence in the School, including natural language processing, speech processing, robotics, and computer vision.
The School of Informatics is host to the EPSRC Centres for Doctoral Training in Data Science, in Robotics and Autonomous Systems, and in Pervasive Parallelism. The adjacent Thomas Bayes Centre for Data Technology will be the home for data-driven applied and translational research at Edinburgh. As further recognition of our strength in these areas, the University was selected to be one of only five founding partner universities in The Alan Turing Institute, the UK's national research institute for data science. The appointee will enjoy opportunities to supervise PhD students from these Centres and from other sources.
Informal enquiries may be addressed to Dr Jacques Fleuriot ( or Dr Nigel Goddard (

Last modified: 2017-12-22 07:50:30