School of Computing and Communications Salary: £33,574 to £46,414 Closing Date: Thursday 30 June 2016 Interview Date: Thursday 21 July 2016 Reference: A1554
The School of Computing & Communications, based in the iconic InfoLab21 facility, is an international centre of excellence in research and teaching. The School was recently ranked 7th in the UK in terms of "world-leading and internationally excellent" research by the UK government’s REF2014 evaluation. The School is currently home to around 50 academic staff, 40 postdoctoral research staff, 120 PhD students and 400 undergraduate and taught Masters students.
As part of a major ongoing investment, the School wishes to appoint a Lecturer (equivalent to Assistant Professor) in Data Science. Applicants should be computer scientists with a strong interest and track record in any aspect of data science. Indicative areas of interest include: machine learning for large or complex data sets, data processing and integration from heterogeneous sources (text, images, signals, video, social, bio, economical, etc.), data visualization for large or complex data sets, data streams processing, data storage and management.
You will be expected to carry out internationally leading research in data science and teach computer science at both undergraduate and postgraduate level. In particular, you should be able to teach advanced topics in our MSc in Data Science, for example, data mining, applied data mining, and programming for data scientists.
The School of Computing and Communications is a core part of Lancaster’s new Data Science Institute which represents a major strategic investment by the University. The Data Science Institute aims to set the global standard for a truly interdisciplinary approach to contemporary data-driven research challenges. This post is based in the School of Computing and Communications and offers significant opportunities for collaboration with the Data Science Institute.
The School offers a highly inclusive and stimulating environment for career development. We are committed to family-friendly and flexible working policies on an individual basis, as well as the Athena SWAN Charter, which recognises and celebrates good employment practice undertaken to address gender equality in higher education and research.
You are strongly encouraged to contact Prof. Plamen Angelov (p.angelov at lancaster.ac.uk) or Prof. Jon Whittle (j.n.whittle at lancaster.ac.uk) to learn more. More information about the School can be found at www.lancaster.ac.uk/scc and about the Data Science Institute at www.lancaster.ac.uk/dsi.
Dr. Paul Rayson Director of UCREL and Reader in Natural Language Processing School of Computing and Communications, InfoLab21, Lancaster University, Lancaster, LA1 4WA, UK. Web: http://www.lancaster.ac.uk/staff/rayson/ Tel: +44 1524 510357 Fax: +44 1524 510492 -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 5747 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20160621/7c865cb9/attachment.txt>