Connectionists: Machine Learning faculty opening: University of Edinburgh, UK

[Charles Sutton]

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 
<csutton at inf.ed.ac.uk>



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/erq_jobspec_version_4.jobspec?p_id=038257


-- 
Charles Sutton * Reader in Machine Learning * University of Edinburgh
Director, EPSRC CDT in Data Science * http://datascience.inf.ed.ac.uk/
Faculty Fellow, Alan Turing Institute * http://turing.ac.uk/

Please excuse brevity: http://theoatmeal.com/comics/email_monster

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