Research Fellow/Experienced Research Assistant

Belfast, Northern Ireland
£28,756 to £35,326 per annum
20 Sep 2021
End of advertisement period
15 Oct 2021
Contract Type
Fixed Term, Permanent
Full Time

Application closing date 15/10/2021
Salary Research Assistant - £28,756 to £33,309 per annum Research Fellow - £34,304 to £35,326 per annum
Job category/type Research

Job description

Are you an accomplished Research Assistant or Research Fellow who has interest in computing approaches for new digital modelling and analysis framework?  

The School of EEECS is seeking a highly motivated Research Fellow or an Experienced Research Assistant for the duration of 36 months.

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 for real-time, in-situ processing of manufacturing data.

The project will involve carrying out research into efficient graphics processing unit (GPU) based approaches for manufacturing/pharmaceutical applications. It will involve the creation of new transprecision computing approaches for algorithm randomisation approaches with a focus on practical implementation using GPUs.  

This is truly an exciting opportunity, where the successful candidate will be part of a world class innovative and mission-led team.

The successful candidate must have, and should clearly demonstrate this in your CV/Cover letter:
Research Assistant:

  • Degree or higher qualification in computer science, electrical/electronic engineering, physics or related area.
  • At least 1 year’s 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*. For further information about the role including the essential and desirable criteria please click the Candidate Information Link below.

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

Queen’s University Belfast is recognised as one of the most diverse organisations in Northern Ireland. We are committed to equality of opportunity, fair participation and welcomes applications from all. However, our Fair Employment Equality Monitoring data tells us that individuals from the Protestant faith are currently under-represented in this category of work. As such, we particularly welcome applications for this role from individuals who identify with these backgrounds and / or communities.

Further information on our commitment to Equality, Diversity and Inclusion, including our work in relation to Gender Equality (Athena SWAN), LGBTQ+ inclusion (Stonewall Workplace Equality Index), Disability and Race (Race Equality Charter) please visit: www.qub.ac.uk/diversity / www.qub.ac.uk/qgi 

For further information and details on the University’s Staff Networks please click here.

Candidate Information

Attractive Reward Package

About the School

About the Project

Further Information for International Applicants

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