Job Title:Research Fellow (3 year fixed term)

Location:Aberdeen, AB10 7GJ

Salary:£39,105 - £45,163 per annum

Job type:Full Time, Temporary 3 Year Fixed Term

This University offers staff and students alike a distinctive, professionally-focused academic environment in which our demand-led teaching helps individuals to develop and prosper. Underpinning this are, of course, our first-class research capabilities and facilities, with internationally recognised strengths across a wide range of educational areas.

About the Role:

We are looking for a full-time postdoctoral research fellow for 36 months. You will be working with Dr Mark Snaith on the EPSRC-funded project Dialogue-based Structured Conversational Artificial Intelligence.

Systems powered by conversational Artificial Intelligence (AI) have seen a significant increase in uptake in recent years. The relatively recent widespread launch of platforms underpinned by Large Language Models (LLMS), such as ChatGPT, has piqued public interest in more advanced conversational systems that, ostensibly, exhibit understanding and can sustain longer form conversations. However, while such platforms have proven effective as a tool for seeking information and generating ideas, the conversations are open and unstructured. Without further scaffolding, this limits the usefulness of language models in domains and applications that require a rigid dialectical interaction structure. Providing this scaffolding in a way that is as accessible to developers as ChatGPT (and other LLMs) is an essential next step if the full potential of conversational AI in focused domains is to be realised.

Implemented dialogue games have been shown to support engaging and interactive conversational applications in diverse domains that require careful consideration of dialogue flow, such as health care, law, and dispute mediation. However, creating these dialogue game implementations is time-consuming and requires specific expertise both in dialogical analysis, and dialogue game implementation languages. If the use of structured models of dialogue in supporting conversational AI is to reach its full potential, a vital next step is to harness advances in deep learning, language models, and argument mining to lower these barriers to entry.

The aim of this project is to create for the first time the theories, tools and techniques that will support widespread use of structured models of dialogue in underpinning complex domain-specific conversational systems. By building on advances in argument mining, the project will facilitate automated implementation of computational dialogue games from natural language transcripts of real examples, and develop new methods for more natural user interactions.

About you:

You should have a PhD in an appropriate subject, excellent software development skills, experience in machine learning along with evidence of high-quality research publications.

Additional Information:

As per the UKVI immigration rules, this role may be eligible for sponsorship under the Skilled Worker route.Sponsorship under this route is dependent on factors specific to the applicant and if tradeable points can be used under the rules.

Employment is conditional on candidates, if deemed necessary, passing a pre-employment medical and undertaking ongoing health surveillance throughout the course of their employment.This is required in order to support our duty of care under health and safety statute and to ensure that the candidates are able to carry out the functions required by the role.

This University's ultra-modern campus, located on the outskirts of the vibrant and prosperous city of Aberdeen, offers a superb place to live, work and develop your career. A relocation package is available to assist with your transition to this University, where you'll enjoy working in one of the most impressive university settings in the UK, with first-class educational infrastructure and outstanding sporting and leisure facilities, all set against a stunning rural backdrop on the banks of the river Dee. More information can be found on our relocation pages

In keeping with This University's commitment to work/life balance you will have the opportunity to work from home for a portion of the working week and also benefit from a generous pension scheme, 46 days annual leave (including statutory days) an onsite nursery and sports centre, as well as a range of voluntary health and travel benefits.

This post is subject to a Disclosure Scotland check.

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Candidates with the experience or relevant job titles of: Project Management, Software, Organisation, Innovation, Graduate, Research Assistant, Software Development, Front End Research may also be considered for this role.