This is a call for applications for a funded PhD studentship at the School of Engineering, University of Lincoln, in rapid digital signal processing with adaptable hardware synthesis to facilitate real-time novelty detection. The project will use digital signal processing techniques on measurements from strategically-located sensors to develop signatures of normal operation of industrial systems, and subsequently facilitate for real-time novelty detection. In addition to research into new signal processing techniques, the realisation of algorithms on adaptable state-of-the-art digital processing platforms will be required.
The selected candidate will have a significant interest/pedigree in one or more of the following: digital signal processing, image processing, intelligent sensing, adaptive control systems, digital hardware implementation, applied mathematics with experimental hardware development, or related disciplines. Candidates should posses a good honours (minimum 2.1) or a Master’s degree in an appropriate engineering or related discipline, and be able to demonstrate strong mathematical and analytical skills. Good programming skills and knowledge of Hardware Description Languages will be desirable.
The 3-year studentship will cover fees up to the value of standard UK/EU costs, and provide a tax-free stipend of £14,000 per annum. There are further opportunities within the School for the successful candidate to supplement the stipend.
Informal enquiries can be made by e-mail to Dr. Yu Zhang (YZhang@lincoln.ac.uk) or Dr. Saket Srivastava (ssrivastava@lincoln.ac.uk).
Formal applications can be made using forms obtained from the following link:
www.lincoln.ac.uk/home/postgraduate/application.htm
To apply please email the application form, CV, three reference letters and a research statement to: engineeringenq@lincoln.ac.uk
The closing date for applications is 31st January 2016. However, applications will be accepted till the position is filled.
Interviews for shortlisted candidates are expected to take place during January/February 2016, with a start date in February/March 2016.