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Attention in a Biologically Inspired Model for Artificial Vision

PGR-P-281

Key facts

Type of research degree
PhD
Application deadline
Ongoing deadline
Country eligibility
International (open to all nationalities, including the UK)
Funding
Non-funded
Additional supervisors
Dr Marc de Kamps
Schools
School of Computing
<h2 class="heading hide-accessible">Summary</h2>

Biologically Inspired Artificial Vision (BIVA) has made considerable progress recently, resulting in artificial neural networks that are very good in object recognition. In crowded visual scenes these networks perform less well. In general these models lack the feedback methods that humans use to analyse a visual scene: attention. Humans use attention to successfully focus on behaviourally relevant visual stimuli, whilst simply ignoring most information. In this project, you will extend an existing BIVA network and endow it with biologically inspired attentional mechanisms. You will evaluate the performance of these networks in visual search tasks in increasingly more complex visual scenes. This project has both relations with recent advances in Machine Learning (Deep Learning) and the neuroscience of visual cortex. The earliest start date for this project is 1 October 2020.

<h2 class="heading">How to apply</h2>

<p>Formal applications for research degree study should be made online through the&nbsp;<a href="https://www.leeds.ac.uk/info/130206/applying/91/applying_for_research_degrees">University&#39;s website</a>. Please state clearly in the research information section&nbsp;that the research degree you wish to be considered for is &lsquo;Attention in a Biologically Inspired Model for Artificial Vision&rsquo; as well as&nbsp;<a href="https://engineering.leeds.ac.uk/staff/390/Dr_Marc_de_Kamps">Dr Marc de Kamps</a>&nbsp;as your proposed supervisor.</p> <p>If English is not your first language, you must provide evidence that you meet the University&#39;s minimum English language requirements (below).</p> <p><em>We welcome applications from all suitably-qualified candidates, but UK black and minority ethnic (BME) researchers are currently under-represented in our Postgraduate Research community, and we would therefore particularly encourage applications from UK BME candidates. All scholarships will be awarded on the basis of merit.</em></p>

<h2 class="heading heading--sm">Entry requirements</h2>

Applicants to research degree programmes should normally have at least a first class or an upper second class British Bachelors Honours degree (or equivalent) in an appropriate discipline. The criteria for entry for some research degrees may be higher, for example, several faculties, also require a Masters degree. Applicants are advised to check with the relevant School prior to making an application. Applicants who are uncertain about the requirements for a particular research degree are advised to contact the School or Graduate School prior to making an application.

<h2 class="heading heading--sm">English language requirements</h2>

The minimum English language entry requirement for research postgraduate research study is an IELTS of 6.0 overall with at least 5.5 in each component (reading, writing, listening and speaking) or equivalent. The test must be dated within two years of the start date of the course in order to be valid. Some schools and faculties have a higher requirement.

<h2 class="heading">Funding on offer</h2>

<p><strong>Self-Funding Students</strong></p> <p><strong>Funding Eligibility</strong></p> <p><strong>UK/EU</strong> &ndash;&nbsp;Leeds Doctoral Scholarship Award paying Academic Fees and Maintenance matching EPSRC rate of &pound;15,009 per year for 3 years and Alumni Bursary for previous graduates from the University of Leeds offering 10% discount on Academic Fees</p> <p><strong>International Students</strong> &ndash;&nbsp;China Scholarship Council-University of Leeds Scholarship Award paying Academic Fees for 3 years, Commonwealth Scholarship for Low Income Countries and&nbsp;Alumni Bursary for previous graduates from the University of Leeds offering 10% discount on Academic Fees</p>

<h2 class="heading">Contact details</h2>

<p>For further information regarding your application,&nbsp;please contact Doctoral College Admissions by&nbsp;email:&nbsp;<a href="mailto:EMAIL@leeds.ac.uk">p</a><a href="mailto:phd@engineering.leeds.ac.uk">hd@engineering.leeds.ac.uk,</a>&nbsp;or by telephone: +44 (0)113 343 5057</p> <p>For further information regarding the project, please contact Dr Marc&nbsp;de Kamps by email:&nbsp;&nbsp;<a href="mailto:M.deKamps@leeds.ac.uk">M.deKamps@leeds.ac.uk</a></p>


<h3 class="heading heading--sm">Linked funding opportunities</h3>
<h3 class="heading heading--sm">Linked research areas</h3>