Machine learning for biometric identification

Biometric identification aims to recognize people's identity through the use of signals or images from which one can extract features that are distinctive to each person. This PhD project will focus on identification on the basis of biometric information that can be captured through a single camera or a simple wearable sensor. Possible target applications are recognition using behavioral information, recognition using mobile phones, or continuous person identification for wearable devices. Candidates for this project should have some fundamental knowldge on signal/image processing. Prior programming experience is highly desirable.

How to apply

If you are interested in applying for the above PhD topic please follow the steps below:

1. Contact the supervisor by email or phone to discuss your interest and find out if you would be suitable. Supervisor details can be found on this topic page. The supervisor will guide you in developing the topic-specific research proposal, which will form part of your application.
2. Click on the 'Apply here' button on this page and you will be taken to the relevant PhD course page, where you can apply using an online application.
3. Complete the online application indicating your selected supervisor and include the research proposal for the topic you have selected.

Good luck!

This is a self funded topic

Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: https://www.brunel.ac.uk/research/Research-degrees/Research-degree-funding. The UK Government is also offering Doctoral Student Loans for eligible students, and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.