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

[Charles Sutton]

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Tenured faculty positions in Machine Learning and AI at the University 
of Edinburgh
Closing date: 31 January 2018
URL: 
https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=042264
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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 
(jdf at inf.ed.ac.uk) or Dr Nigel Goddard (nigel.goddard at ed.ac.uk).

-- 
Charles Sutton * Reader in Machine Learning * University of Edinburgh
Faculty Fellow, Alan Turing Institute * http://turing.ac.uk/

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The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.