英国肯特大学计算机科学/电气工程博士后职位

The post is to drive the day-to-day research at Kent on an EPSRC funded project entitled “ΣID – An exploration of super identity”. The cross-disciplinary research project represents a £1.9M investment by EPSRC under their Global Uncertainties Programme and is a collaboration between the universities of Kent, Bath, Dundee, Leicester, Oxford and Southampton in the UK and Pacific Northwest National Laboratory in the US. The project also has representation from several governmental and industrial stakeholders.

The challenge within this project is to address the issue of ‘who we are’ through the development of a Super-Identity model (ΣID) in which multiple signallers of identity, including physical/real-world/biometric information and cyber identifiers, are combined. The result will be a rich concept of identity with which individuals are content, and in which users have confidence. The aims of ΣID are articulated through three objectives: (i) to combine identity measures across real and cyber domains in order to inform identification decisions in the face of partial and changing knowledge, and uncertainty; (ii) to uncover hidden data, and relationships between data, which can enhance informed decisions and prediction of identity; and (iii) to quantify the certainty of an identification by quantifying the reliability of each contributing measure. The research work at Kent will focus on the computer-based evaluation of biometric indicators of identity. Specifically, biometric measures will be evaluated from a range of modalities and assess identity factor correlations building upon parallel work within the psychological and anatomical communities. These findings will then contribute to the overall Super-Identity model.

Informal enquiries concerning this post can be made to Dr Richard Guest (r.m.guest@kent.ac.uk).

The Person

The successful candidate will have a Doctorate in Computer Science, Electronic Engineering or a related discipline and have previous relevant post-doctoral research experience.

We are looking for someone who has significant previous experience of biometric technologies, image processing techniques and of cross-disciplinary research.

For the full person specification please click on the job description button.

The Department

The School of Engineering & Digital Arts is part of the Faculty of Sciences and prides itself on offering excellent teaching in an environment which is also supporting world-class research in the subject areas in which we teach. We have an enviable track record of achievement in teaching, in research, and in enterprise-led activity, and we maintain strong working contacts with academic and Industrial Organisations within the UK, in Europe, and worldwide.

Further Information

Starting date for applications: 10 Oct 2013

Closing date for applications: 10 Nov 2013