Wavelet Based Deep Learning Iris Recognition for Biometrics - Engineering and Technology - PhD Studentships - University of Derby

PhD Studentship in "Wavelet Based Deep Learning Iris Recognition for Biometrics"

College of Engineering and Technology

University of Derby

Qualification type:



Derby, UK

Funding amount:

£14,553 stipend pa + UK home tuition fees


Full Time


Placed on:

16th June 2017


16th July 2017


The week starting 31st July 2017

Start date:

September 2017


Project Description

Title: Wavelet Based Deep Learning Iris Recognition for Biometrics.


Project Overview:

Identifying human traits, also known as Human Biometrics, has become an active area of research in the past few year, due to arising needs to correctly and efficiently identify people not only within national boundaries but more so as they cross national boundaries as part of providing homeland and border protection. Biometrics use human traits that are not only unique to humans such as finger printers, gait and iris but also those that cannot normally or easily be manipulated by the person or the effect of time (aging). The objective of this PhD degree research project is to use Deep Learning within the big data paradigms as applied to wavelet transforms to understand the biometric characteristics for the purpose of identifying individuals. Heavy use of mathematical modelling with the objective to develop new machine learning algorithms and different wavelet transforms. Excellent programming skills (python, matlab, etc.) are required.


If you would like to discuss further on this project, please contact the Director of Study, Dr. Mohsen Farid (m.farid@derby.ac.uk)

The research project will be conducted within a research team at College of Engineering and Technology, The University of Derby comprising academics, post-doctoral researchers, and technical staff. You will have access to state-of-the-art facilities at the University which has a strong multidisciplinary approach to research and innovation in the fields of materials, manufacturing, data science, mathematics and built environment.

Teaching responsibilities

Prospective candidates will also have a post graduate teaching assistant (PGTA) status within the College. On average over a calendar year a PGTA should be prepared to spend a maximum of 250 hours on teaching-related duties. These duties include teaching contact, preparation and any assessment. In practice during semesters, which extend for about 24 teaching weeks per year, the PGTA may expect on average to be engaged in teaching-related duties for about 10 hours per week. This teaching-related work should rarely exceed 20 hours in a week. In addition to days in which no engagement is expected, there should be at least a further 16 weeks each calendar year when the PGTA has no teaching duties. There is no remuneration in respect of these teaching duties. In addition to their teaching duties which automatically contribute towards their teaching development, the successful candidate is also expected to commit a minimum of a further 17 hours per week over 45 weeks each year to their programme of personal research.

Entry Requirements

At least a 2.1 Honours degree or equivalent in Computer Science, Data Science, Engineering, Physics, Chemistry, Mathematics, Materials Engineering or any other Applied Science.

How to apply:

In order to apply, please see the University website at https://www.derby.ac.uk/research/degrees/apply/. In addition to the documents requested on the website, please also include with your application a Curriculum Vitae and a covering letter. Completed applications should be submitted by email to researchoffice@derby.ac.uk, quoting reference E&T_3_PGTA_0717 in the subject line.

Studentships are available to UK/EU and International applicants. If your application is successful and you are assessed as Overseas for fees purposes, you will need to pay the difference between the Home/EU fees and the Overseas fees.