Research Associate in Nonlinear Time-Series Classification

Research Associate in Nonlinear Time-Series Classification

Posted by Rebecca Martin on Mon, 14/11/2011 - 12:12

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.

Contract Type: Fixed-term with an end date of 30 June 2012
Salary: £28,251 to £30,870 per annum (Grade 7)

Closing Date: 28th November 2011

For access to the full job advert, visit http://www.shef.ac.uk/jobs
(Job Reference Number: UOS003589).