Research Fellow, Visualisation for Audit Compliance

Belfast, Northern Ireland
£35,333 per annum
20 Feb 2023
End of advertisement period
20 Mar 2023
Contract Type
Fixed Term, Permanent
Full Time

Job Description:

The School of Electronics, Electrical Engineering & Computer Science (EEECS) at Queen’s University Belfast, is seeking a highly productive, ambitious, and collaborative member of the Advanced Research and Engineering Centre (ARC) within Northern Ireland. The Centre combines expertise from PwC, the University of Ulster and Queen’s University Belfast. 

The Research Fellow will join this vibrant network of collaborators to develop experiments and prototypes at the frontier of artificial intelligence, human computer interaction and visualisation research. They will lead the research and development of visualisation for FinTech Compliance Audit aligning to the specifications developed in conjunction with PwC and will experimentally assess the benefits of using such advanced technologies to enhance understanding of complicated data and compliance processes.   

Successful applicants will have responsibilities in independent research, planning, outreach, and collaboration both internally and externally. Opportunities to be considered for a 12-month placement at PwC may be made available.  

The successful candidate must have, and your application should clearly demonstrate you have:

  • 2.1 Honours Degree (or equivalent) in Applied Mathematics, Computer Science, Electronics, Electrical Engineering, or a closely related discipline.
  • Obtained, or be about to obtain a PhD in Computer Science, Applied Mathematics, Electronics, Electrical Engineering or Physics.   

Relevant experience to include:

  • At least 3 years’ research experience in at least one of: intelligent systems, artificial intelligence, algorithms development.
  • 1-3+ years of experience developing AR or VR systems.
  • Working effectively as part of a research team in the development and promotion of the research theme.
  • Unity debugging experience.  

Evidence of knowledge of:

  • Scripting languages, Java or Python or C#, and proficient in C++ programming and of how to optimise software for specific headsets and platforms.
  • Unity Game Engine and Editor.
  • Typical algorithms used in AI. 

Please note the above are not an exhaustive list.  For further information about the role including the essential and desirable criteria, please click on the Candidate Information link below.  

This is a fixed term post for 3 years, or until 31 March 2026, whichever is soonest. 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/diversitywww.qub.ac.uk/qgi and www.qub.ac.uk/sites/StaffGateway/StaffNetworks/

Informal enquiries may be directed to Dr Barry Devereux at B.Devereux@qub.ac.uk.

Candidate Information
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