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ALLSTAT  November 2018

ALLSTAT November 2018

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Subject:

Faculty Positions in Machine Learning: University of Edinburgh, UK

From:

Amos Storkey <[log in to unmask]>

Reply-To:

Amos Storkey <[log in to unmask]>

Date:

Sat, 24 Nov 2018 17:29:27 +0000

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (33 lines)

https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=046049

Vacancy Reference: 046049

Applications are invited for a Lecturer, Senior Lecturer or Reader in Machine Learning at the School of Informatics, University of Edinburgh, as part of substantial University expansion in machine learning, data science, and artificial intelligence.  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 who carry out research on the theory, principled models and algorithms, and applications of machine learning. Candidates will be or become research leaders in the field, and will have all the benefits of a university research setting, including the ability to define the research agenda, and flexibility in goals and approaches. The School attracts top PhD students and postdoctoral staff, enabling staff to build strong research teams. Applicants will have a substantial publication record and strong research potential. Candidates from all areas of machine learning will be considered, and we particularly encourage applications from groups in society less well represented in the subject area.

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 groups in Maths and Statistics, and 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 adjacent Thomas Bayes Centre for Data Technology is the home for data-driven applied and translational research at Edinburgh.  The University is one of the five founding partner universities in the UK's Alan Turing Institute for Data Science, providing opportunities to interact with Turing 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(s) 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.

Lecturer Grade: UE08 (£40,792 - £48,677)
Senior Lecturer or Reader Grade: UE09 (£51,630 - £58,089)
Closing date: 7 Jan 2019
Interviews will be held in Edinburgh, likely in late Feb 2019.

See

https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=046049

for more details.

[Note: Amos Storkey and Chris Williams will be attending NeurIPS and can be available for informal discussions about this post]

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