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). The Research Fellow will join this vibrant network of collaborators to develop experiments and prototypes at the frontier of artificial intelligence and natural language processing (NLP) research.   

The Research Fellow will lead the development of NLP and Document AI methods for modelling commercial document data and aligning to specifications developed in conjunction with PwC. They will assess the models in the context of auditing the textual data (e.g. assessing data compliance) and investigate the utility of the models for automating complex compliance processes and other common corporate workflows.   

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 about to obtain a PhD in Computer Science, Applied Mathematics, Electronics, Electrical Engineering or Physics.
• 3 years’ research experience in at least one of: intelligent systems, artificial intelligence, natural language processing, data science.
• Knowledge of Python, and experience with at least one other programming language (Java, R, C# or similar).
• Knowledge of deep learning or NLP frameworks and tools (e.g. PyTorch, huggingface, spaCy).   

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.  

This is a fixed term post, available 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 (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 Vishal Sharma at v.sharma@qub.ac.uk.

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