This is a project within a consortium of 10 European countries. The project focuses on knowledge discovery, based on analysing large databases collected from the consortium member countries, to establish knowledge bases within case based reasoning systems for policy making in lifelong learning in Europe. The objectives include to mine knowledge from large amounts of data, and to develop intelligent decision support systems to support policy makers throughout the policy making process for adult lifelong learning.
Applications are invited from highly skilled researchers in Computer Science, Knowledge Engineering, Artificial Intelligence or a related area. A good understanding of data mining and knowledge discovery is essential. In addition, strong programming skills will be an advantage.
The applicants must have a PhD (or equivalent) or near completion in Computer Science, Artificial Intelligence, Knowledge Engineering or related disciplines. The successful candidate will be working on the development of Intelligent Decision Support Systems collaboratively with other consortium members. They should be able to work both independently and collaboratively and be able to meet tight deadlines. Good communication skills to work within multidisciplinary teams are crucial. The candidates will be expected to disseminate research results in peer-reviewed journals and conferences.
Informal enquiries may be addressed to Dr Rong Qu (Rong.Qu@nottingham.ac.uk, Tel: +44 (0)115 8466503), Professor Bob John (Robert.john@nottingham.ac.uk) and Dr Jason Atkin (Jason.Atkin@nottingham.ac.uk). Please note that any applications sent directly to these email addresses will not be accepted.
More information can be found at:
http://www.jobs.ac.uk/job/ANS589/research-associate-fellow/
http://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI137016
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