Phd Position - Adaptive Natural Language Generation
I am happy to announce that I have funding for a PhD position at the university of Aberdeen CS department. I am keen to recruit a motivated and creatively-minded student to work with as we explore, evaluate and extend the potential of LLMs for generating more audience-aware, adaptive, and ultimately more human-like language. This is an exciting position, as there is a degree of freedom for us to decide the direction of the project together (You can get an idea of the directions I'm interested in from my publications). The official advert can be found on find a phd, however I provide some further details below.
Are you interested in the intersection of natural language processing and cognitive science, specifically large language models (LLMs) and natural language generation (NLG)? We are looking for a PhD student to work on using LLMs to generate more human-like texts that are adaptive, context-specific and audience-aware. Taking inspiration from the fields of psycholinguistics and cognitive science, this project aims to explore, evaluate and extend the potential of large language models (LLMs) to generate language that is appropriate for an interactive setting such as dialogue. Adaptive NLG can lead to more inclusive, personalised, and appealing language, essential components of a number of downstream applications. Target applications for evaluating such adaptive language will involve language produced by humans and models in collaborative communicative settings. The output of this PhD project should advance the state of the art in NLG systems, in terms of techniques for evaluation, understanding of LLMs, or improved generation - thus allowing systems to adaptively interact in a manner that is sensitive to linguistic contextual cues. Applicants will be expected to work on a topic within the area outlined above, aligned with the research interests of Dr Arabella Sinclair.
Typically, you will meet with your primary supervisor on a weekly basis, at least until you reach the stage of writing up your thesis, or during periods where an internship is undertaken.
Ehud Reiter will act as the second supervisor for this PhD position. His expertise in Natural Language Generation and Evaluation will be a valuable addition when it comes to receiving feedback on some of your work.
If you have further questions, please contact me. Ideally please add [phd-adaptNLG] to the subject line of initial email correspondence, so that I can manage applications more easily.
Your work will be assessed at the end of year 1, where you will be evaluated on your progress by two assessors (other than your supervisor) both via oral interview and on a progress report that you prepare. If after this assessment, your work is found to be on track for successful PhD completion, you will continue with the program, and will be expected to produce a substantial original thesis within at most 4 years from the date of admission. To successfully obtain a PhD in Computing Science from the University of Aberdeen, you will need to defend your thesis orally to two appointed examiners.
Selection will be on the basis of academic merit. The successful candidate should have, or expect to obtain, a UK Honours degree at 2.1 or above (or equivalent) artificial intelligence, computer science, machine learning, computational cognitive science, or a related discipline along with strong programming skills and demonstrable previous experience in natural language processing. Lastly, the candidate should have a keen interest in the area and enjoy working collaboratively.
Applications from candidates belonging to demographics typically underrepresented in AI are particularly encouraged to apply.
This is a studentship open to both home and overseas students funded by the School of Natural and Computing Sciences. Funding will cover tuition fees for 36 months (3 years) and a stipend of £17,668 paid monthly, in arrears. The start date is to be agreed with the supervisor and we reserve the right to remove the advert if a suitable candidate is found before the advertised closing date
The official application process is outlined on the advert on find a phd. Please get in contact with me if you have any questions about this. Your cover letter should act as a demonstration that a) you are able to write well and concicely, b) you are interested in this project specifically rather than some other topic c) that you consider yourself a good fit with the project and supervision team.