Research Associate in Nonlinear Time-Series Classification (Unilever sponsored project)

Research Associate in Nonlinear Time-Series Classification (Unilever sponsored project)

Posted by Victoria Nicholl on Wed, 30/11/2011 - 13:26

Department of Automatic Control & Systems Engineering
The University of Sheffield

We are seeking to appoint a Research Associate to work on an industry-sponsored project on nonlinear signal processing. This post offers an outstanding opportunity to work with a multidisciplinary team of researchers from academia and industry. The project is to develop a novel feature extraction, modelling and classification system for nonlinear time-series. The position will incur regular travel to the Unilever Research Port Sunlight, Merseyside.

Applicants should have a good honours first degree and have, or be working towards a PhD in signal processing or a related area. The successful applicant will have experience in nonlinear system identification, statistical signal processing and pattern classification. Good IT skills including programming ability and experience in MATLAB computing environment is essential. Previous experience of processing real time-series data is highly desirable.

Applicants should also have good communication and interpersonal skills, and be able to work with researchers from the industry. Ability to meet deadlines and provide timely deliverables is essential.

This post is fixed-term until 30 June 2012.

Salary: £28,251 to £30,870 per annum (Grade 7)

Closing Date: 15th December 2011

It is anticipated that interviews and other selection action will be held on 20 December 2011.

For access to the full job advert, visit http://www.shef.ac.uk/jobs
(Job Reference Number: UOS003674).