Machine Learning faculty opening: University of Edinburgh

New faculty position in ML at the University of Edinburgh.
Deadline: 31 January 2017
Several Edinburgh machine learning faculty will be attending
NIPS and available for informal discussions: Charles Sutton,
Michael Gutmann, Guido Sanguinetti, Amos Storkey, Chris Williams.
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Lecturer or Senior Lecturer or Reader in Machine Learning
Applications are invited for a Lecturer in Machine Learning to join
the School of Informatics, at the University of Edinburgh, as part of
a multiyear expansion in machine learning, data science, and
artificial intelligence. For an exceptional candidate, appointment to
the position of Senior Lecturer or Reader will be considered. A
lectureship is a full-time academic position roughly equivalent to an
assistant professorship in other countries; senior lecturer and reader
are roughly equivalent to associate professor. Multiple positions may
be available.
We seek candidates with research interests and experience in the
theory and application of machine learning methods, with substantial
publication records and strong research potential. Candidates from all
areas of machine learning will be considered. The University of
Edinburgh has the largest academic machine learning research group 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 EPRSC Centres for Doctoral
Training in Data Science, in Robotics and Autonomous Systems, and in
Pervasive Parallelism. The appointee will enjoy opportunities to
supervise PhD students from these Centres and from other sources. The
adjacent Thomas Bayes Centre for Data Technology will be the home for
data-driven applied and translational research at Edinburgh. The
University is one of the five partner universities in the UK's
Alan Turing Institute for Data Science (ATI), providing opportunities to
interact with ATI PhD students, research fellows and senior
researchers. In addition, there are many opportunities to engage with
other parts of the University and beyond in order to further the
candidate's research agenda.
The successful candidate will have a PhD; experience as an established
researcher in the theory and application of machine learning methods;
enthusiasm to undertake original research including leading a research
group; ability to engage with undergraduate and postgraduate teaching
and academic supervision; and the ability to be involved in enhancing
eLearning and on-line teaching initiatives.
Informal enquiries may be addressed to Charles Sutton
Vacancy Reference: 038257
Lecturer Grade: UE08 (£39,324 - £46,924)
Senior Lecturer or Reader Grade: UE09 (£49,772 - £55,998)
Closing date: 31 January 2017
Interviews will be held in Edinburgh in early 2017.
URL:
https://www.vacancies.ed.ac.uk/pls/corehrrecruit/e...