Research Fellow (3 year fixed term)


Robert Gordon University
Location 

Hybrid - Aberdeen

Employment Hours 

Full Time

Employment Type 

Permanent

Salary 

£39,105 - £45,163 per annum

Job Highlights
  • Robert Gordon University (RGU) provides a distinctive, professionally-focused academic environment with first-class research capabilities and facilities.
  • A full-time postdoctoral research fellow with a PhD, excellent software development skills, and experience in machine learning for a 36-month project.
  • Opportunities for work/life balance with the option to work from home, a generous pension scheme, 46 days annual leave, and access to an onsite nursery and sports centre.
Job Requirements/Description

Robert Gordon University (RGU) 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


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.


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.


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.


 


RGU'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 RGU, 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 RGU'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. For more information visit: https://www.mygov.scot/basic-disclosure/


JOB DESCRIPTION


RESPONSIBLE TO: Dr Mark Snaith


RESPONSIBLE FOR: No Supervisory Responsibilities


PURPOSE OF POST:


To develop the theories, tools and techniques that will support widespread use of structured models of dialogue in underpinning complex domain-specific conversational systems.


PRINCIPAL DUTIES:


1. Investigating and developing appropriate data annotation schemes to support automated extraction of dialogue structures.


2. Developing appropriate theories, tools and techniques in machine learning to automate the extraction of dialogue structures from natural language text.


3. Liaising with industrial and academic partners to support the deployment of practical results in usable, real-world applications.


4. Writing high quality research outputs to disseminate project results.


5. Presenting project results at conferences.

Robert Gordon University
Location 

Hybrid - Aberdeen

Employment Hours 

Full Time

Employment Type 

Permanent

Salary 

£39,105 - £45,163 per annum

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