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Lecturer / Senior Lecturer in Machine Learning and Computational Intelligence

Department of Computer Science

Location:  Guildford
Salary:  £39,324 to £57,674 per annum
Post Type:  Full Time
Advert Placed:  Monday 22 May 2017
Closing Date:  Wednesday 28 June 2017
Interview Date:  See advert
Reference:  039217

The Department of Computer Science at the University of Surrey invites applications for a post of Lecturer/Senior Lecturer in Machine Learning and Computational Intelligence.  We aim to attract outstanding candidates to the Nature Inspired Computing and Engineering (NICE) Group, who will have strong visions for research, a growing international research profile, a passion for teaching, and who value collaborative research and working in a team.  This is an exciting opportunity in a department that is growing its reputation for delivering quality interdisciplinary and applied research based on strong foundations.

The post-holder will enhance or complement one or more of the following areas: evolutionary computation, computational intelligence, machine learning, and computational neuroscience, with applications to data-driven optimisation, data analytics and big data, secure machine learning, self-organising and autonomous systems, healthcare and bioinformatics.  It is expected that the post-holder will also contribute to high quality teaching at undergraduate and post-graduate level, for example in data science.

Applicants to the post should have a PhD in a relevant subject or equivalent professional experience. An ability to produce high quality outputs is also required. The appointed candidate will be expected to contribute to all aspects of the Department’s activities.

We are looking for individuals that can inspire students through their curiosity for leading-edge aspects of technology.  In particular, the teaching duties of the role include delivering high quality teaching to all levels of students, supervising undergraduate project students and postgraduate dissertations and contributing to the teaching of computational intelligence, machine learning, data science, as well as other practical areas of Computer Science, such as object-oriented programming and advanced algorithms. 

The Department of Computer Science embodies the ethos of “applying theory into practice” across its research and teaching activities. Its research activities are focused into two research groups: Nature Inspired Computing and Engineering (NICE) and Secure Systems. The research on evolutionary optimization and computational intelligence is internationally recognized and has a close collaboration across the University and internationally with academia and industry. The department has excellent links with departments across the University, as well as with industry, such as Honda, The Pirbright Institute, National Physical Laboratory, and Moorfields Eye Hospital.

This is a full-time and permanent position. The post is available from September 2017 but there is flexibility in the start date. The University is located close to the Surrey Research Park in Guildford and within easy commuting distance of London.

For further details and an informal discussion please contact Professor Yaochu Jin, Head of the NICE Group, yaochu.jin@surrey.ac.uk, or Professor Mark Plumbley, Head of Department at m.plumbley@surrey.ac.uk.

The University and the Department specifically are committed to building a culturally diverse organisation and strongly encourages applications from female and minority candidates.  The Department shares the Athena SWAN ideals with respect to the equality and diversity agenda.

Presentations and interviews will take place on 13 July 2017.  During the interview process there will be an opportunity to meet members of the NICE group in the evening of 12 July 2017 for an informal dinner and to meet with other colleagues within the Department on an informal basis.

 
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Further details:

For more information and to apply online, please download the further details and click on the 'apply online' button above.

We acknowledge, understand and embrace diversity.

 

 

 


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