Research Fellow, Experienced Research Assistant

Belfast, Northern Ireland
£28,756 - £35,326 per annum
06 Dec 2021
End of advertisement period
04 Jan 2022
Contract Type
Fixed Term, Permanent
Full Time

Application closing date 04/01/2022
Salary Research Assistant: £28,756 - £33,309 per annum Research Fellow: £34,304 - £35,326 per annum
Job category/type Research

Job description

The School of Electronics, Electrical Engineering & Computer Science (EEECS) at Queen’s University Belfast, is seeking a highly motivated Research Fellow or an Experienced Research Assistant, to undertake research into advanced efficient graphics processing unit (GPU) solutions for state of the art manufacturing environments.

The post is part of the UKRI-funded Real-time Process Modelling and Diagnostics: Powering Digital Factories (RAPID) project with the University of Edinburgh, Seagate, Glaxo Smith Kline and NVIDIA Research. It aims to develop a new digital modelling and analysis framework based on GPUs for real-time, in-situ processing of manufacturing data. The work will centre on new transprecision computing approaches for algorithm randomisation research and will focus on practical realisation.

It offers an exciting opportunity for the successful candidate to join a world class GPU-based research activity focused around the Northern Ireland High-Performance Computing Centre and the significant Belfast Regional City Deal investment that will create an advanced GPU facility.

The successful candidate must have and your CV/Cover letter should clearly demonstrate you have:

Research Assistant:

  • Degree or higher qualification in computer science, electrical/electronic engineering, physics or related area.
  • At least 1 years relevant research experience to include:
    • Undertaking research into computing hardware acceleration, GPU programming or data analytics. 

Research Fellow:

  • Normally have or be about to obtain a PhD in the areas of computing hardware, programming, data analytics.
  • At least 3 years relevant research experience to include:
    • Undertaking research into computing acceleration approaches, GPU programming techniques, innovative data analytics for manufacturing.  
    • Proven track record of undertaking analyses, critical evaluation and interpretations of experimental data as relevant to the research project.
    • Working effectively as part of a research team in the development and promotion of the research theme.
      Strong publication record commensurate with stage of career.

Please note the above are not an exhaustive list. 

Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject to availability of funding.

Queen’s University is committed to promoting equality of opportunity to all. We have created an inclusive culture by establishing various staff networks such as iRise and PRISM which help us to progress equality.

We also subscribe to Equality Charter Marks such as Stonewall Workplace Equality Index and Diversity Charter Mark NI in addition to Athena SWAN award.  For further information on our commitment to Equality, Diversity and Inclusion please visit: www.qub.ac.uk/diversitywww.qub.ac.uk/qgi and www.qub.ac.uk/sites/StaffGateway/StaffNetworks/

Candidate Information

About the School

About the Grants

Attractive Reward Package

Information for International Applicants 

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