Research Assistant in Knowledge Engineering

We are seeking a highly motivated Research Assistant to join our dynamic team in the Applied Research and Engineering Centre, within the School of Electronics, Electrical Engineering and Computer Science. This exciting role forms part of a forward-looking research programme focused on natural language-based knowledge extraction and modelling for document processing in the financial technology sector.

The postholder will work closely with academic and industry partners to develop methods and software tools that support advanced document analysis. This includes contributing to the design and development of research software prototypes, promoting research outcomes through high-quality publications and conferences, and supporting funding proposal development.

The role offers an excellent opportunity to collaborate in a multidisciplinary research environment, engage with cutting-edge AI and knowledge engineering techniques, and contribute to impactful innovation in the fintech domain.

About the person:

The successful candidate must have and your CV/Cover letter should clearly demonstrate the following:

• Hold at least a 2:1 honours degree in Computer Science or closely related disciplines.
• Have or about to obtain an MSc degree in Computer Science or closely related disciplines.
• Recent relevant experience to include:
  • Demonstrable experience in the use of natural language processing (NLP) or machine learning (ML) or knowledge engineering (KE) tools in an academic or industrial context.
  • Demonstrable experience in programming/scripting, beyond that taught in undergraduate engineering courses.
  • A proven track record of using relevant techniques to carry out analyses, critical evaluations, and interpretations of data in a research context.
  • Working effectively as part of a research team in the development and promotion of the research theme.

To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information on our website.

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.

What we offer:

Beyond a competitive salary, the University offers an attractive benefits package including a holiday entitlement of up to 8.4 weeks a year, pension schemes and development opportunities. We support staff wellbeing with flexible working options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more on our website.

Queen's University is committed to promoting equality of opportunity to all. We subscribe to Equality Charter Marks such as the Diversity Charter Mark NI and Athena Swan and have established staff networks such as iRise (Black, Asian, Minority Ethnic and International Staff Network) and PRISM (LGBTQ+) which help us progress equality.

For further information on our commitment to Equality, Diversity and Inclusion, please visit our website.

If you are an international applicant and don't already hold a visa that permits you to take up the role you are applying for, please use the information provided on our website to self-assess whether the University is likely to be able to support a visa application.

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