Research Fellow / Research Assistant School of Electronics

Belfast, Northern Ireland
Research Assistant: £32,024 - £36,744 per annum. Research Fellow: £37,841 - £38,969 per annum
11 Sep 2023
End of advertisement period
02 Oct 2023
Contract Type
Fixed Term
Full Time

Job reference: 23/111245
Date posted: 11/09/2023
Application closing date: 02/10/2023
Salary: Research Assistant: £32,024 - £36,744 per annum. Research Fellow: £37,841 - £38,969 per annum
Job category/type: Research

The School of Electronics, Electrical Engineering & Computer Science (EEECS) at Queen’s University Belfast, is currently seeking to appoint an exceptional candidate to the post of Research Fellow or an experienced Research Assistant to be a member 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 your application should clearly demonstrate you have:

Research Assistant:

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

Research Fellow:

  • Obtained or be about to obtain a PhD in the areas of computing hardware, programming, data analytics.
  • Substantial relevant research experience to include:
    • Undertaking research into approaches to accelerate computing software solutions, optimisation techniques for improved computing, innovative data analytics for manufacturing.
    • Proven track record of undertaking analyses, critical evaluation and interpretations of experimental data as relevant to the research project.
    • 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.

This post is fixed term until 31 August 2025. 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.

At Queen’s our people are at the heart of everything we do. As a staff member you will become part of a vibrant organisational culture, which will provide you with the opportunity to achieve your full potential and enhance your career through a continuous focus on learning and development.

Queen’s University is committed to promoting equality of opportunity to all. We have created an inclusive culture by establishing staff networks such as iRise (Black, Asian, Minority Ethnic and International Staff Network) and PRISM (LGBTQ+) which help us progress equality.

We also subscribe to Equality Charter Marks such as the Diversity Charter Mark NI in addition to Athena Swan. For further information on our commitment to Equality, Diversity and Inclusion, please visit:  www.qub.ac.uk/diversity; www.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