QUEENS UNIVERSITY BELFAST

Research Fellow, NLP for Fintech Compliance

Location
Belfast, Northern Ireland
Salary
£34,304 per annum
Posted
25 Jul 2022
End of advertisement period
15 Aug 2022
Ref
22/110054
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 and natural language processing (NLP) research. They will lead the development of NLP methods for modelling unstructured text documenting commercial compliance data and aligning to specifications developed in conjunction with PwC and they will assess the models in the context of auditing the textual data (i.e. assessing data compliance) and investigate the utility of the models for automating complex 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.

This post is available on a fixed term contract for 3 years.

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 research experience in at least one of: intelligent systems, artificial intelligence, algorithms development.
  • 1-3+ years of experience developing deep learning and/or NLP systems
  • Working effectively as part of a Research team in the development and promotion of research topics

Demonstrable knowledge of Python, and experience with Java, R, C#, or other relevant languages. Knowledge of deep learning or NLP frameworks and tools (e.g. PyTorch, huggingface, spaCy).

Demonstrable knowledge of typical algorithms and concepts used in machine learning and deep learning, to include both model architectures and model evaluation.

*Please note the above are not an exhaustive list.* For further information about the role including the essential and desirable criteria click on 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 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/diversitywww.qub.ac.uk/qgi and www.qub.ac.uk/sites/StaffGateway/StaffNetworks/

Candidate Information
About the School
Attractive reward package
Further information for international applicants

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