QUEENS UNIVERSITY BELFAST

Research Fellow, AI for Fintech Compliance

Location
Belfast, Northern Ireland
Salary
£34,304 per annum
Posted
25 Jul 2022
End of advertisement period
15 Aug 2022
Ref
22/110055
Contract Type
Fixed Term
Hours
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 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 assisting in the planning and delivery of the research activity specifically 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 AI technologies for FinTech Compliance Audit aligning to the specifications developed in conjunction with PwC and will then experimentally assess the benefits of using such advanced technologies to enhance understanding of complicated data and compliance processes.

The post is a critical role, and as such, successful applicants will have responsibilities in independent research, planning, outreach, and collaboration both internally and externally.

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
  • Have, or be about to obtain a PhD in Computer Science, Applied Mathematics, Electronics, Electrical Engineering, Physics

Relevant experience to include:

  • At least 3 years’ experience in AI research and algorithm development.
  • 1+ years’ experience in developing AI application systems.
  • Working effectively as part of a research team in the development and promotion of a research topic.
  • Demonstrable knowledge of typical algorithms used in AI.
  • Demonstrable knowledge and experience of Python or Java or C# or C++ programming language; and knowledge of how to optimise software systems for specific platforms.

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

Fixed term for 3 years. 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 (Race) 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
Attractive Reward and Benefits Package
Information for International Candidates

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