Research Fellow - Deep Learning and Natural Language Processing

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) in 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 drive future innovations in technology.   

The Research Fellow will assist in the planning and delivery of the research activity to develop experiments and prototypes at the frontier of artificial intelligence, human computer interaction and visualisation research. They will lead the research and development in deep learning based natural language processing (NLP) technologies aligning to the specification developed in conjunction with PwC and will then experimentally assess the benefits of using such advanced technologies in enhancing the understanding of complicated data and processes.   

Successful applicants will have responsibilities in independent research, supervision, 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 Computer Science, Applied Mathematics, Electronics, Electrical Engineering, or a closely related discipline.
• Obtained or be about to obtain a PhD in Computer Science, Applied Mathematics, Electronics or Electrical Engineering.   

Relevant experience to include:

• 3+ years’ experience in deep learning and NLP research and development
• Working effectively as part of a research team in the development and promotion of a research topic.   

Demonstrable knowledge of common deep learning models for NLP.  

Demonstrable knowledge and experience of Python and (Java or C# or C++) programming languages.  

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 which is available for 3 years or until 31 March 2026, whichever is sooner. 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/ . 

Informal enquiries may be directed to Dr Siofra Frost at siofra.frost@qub.ac.uk.

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