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Creating programmable embedded platforms for image processing applications

DEL PhD Studentship 2013/14

Creating programmable embedded platforms for image processing applications

Principal Supervisor: Professor Roger Woods


Project Description:

The project is to work as part of a newly-formed team involved in developing innovative hardware solutions for image analysis on heterogeneous architectures, including Many Core, Field Programmable Gate Array (FPGA) and Graphical Processing Unit (GPU) based processors.

The work is a close collaboration between Queen's University and Heriot-Watt University; the work will also be carried out with a number of multinational companies including Thales, Xilinx and Andor and a key spin-off company Analytics Engines Ltd.

The project aim is to create novel, high performance, processor architectures for image processing sensors which has major implications for medical imaging and security applications. The PhD project will involve creating FPGA-based architectures which give a magnitude improvement in performance over classical multiprocessors. The candidate will work on an image processing application defined by two of the partner companies, namely Andor and Analytics Engines Ltd.


Objectives:

The project will involve a number of key activities:

  1. Understanding research into novel architectures for FPGA.
  2. Demonstrate the potential for an image processing application defined by the companies.
  3. Create a demonstrator using advanced hardware and the tool flow developed in the project.

It is expected that the candidate will present their work at major international conferences and work closely with all of the companies involved at both their UK and international offices.


Academic Requirements:

A minimum 2.1 honours degree or equivalent in Electrical and Electronic Engineering or relevant degree is required.


General Information

This 3 year PhD studentship, funded by the Department for Employment and Learning (DEL), commences on 1 October 2013, covers approved tuition fees and a maintenance grant (unknown for 2013/14) is approximately £13,000 - £14,000.

Applicants should apply electronically through the Queen's online application portal at: https://dap.qub.ac.uk/portal/

Further information available at:  http://www.qub.ac.uk/schools/eeecs/PhD/PostgraduateResearchScholarships/


Contact details:

Supervisor Name: Professor Roger Woods
Address: ECIT Institute,
Queens Road,
Belfast,
BT3 9DT
Email: r.woods@qub.ac.uk
Tel: +44 28(0) 9097 1877
Web: www.qub.ac.uk/eeecs

Deadline for Submission of Applications: 7th March 2013


For further information on Research Area click on link below:
http://www.ecit.qub.ac.uk/Research/DigitalCommunications/ProgrammableSystemsandNetworks/