Postgraduate research opportunities Adapting Large Language Models to Specific Domains

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Key facts

  • Opens: Tuesday 18 July 2023
  • Number of places: 3
  • Duration: 36 months

Overview

Large Language Models (LLMs) such, as Chat-GPT, are currently changing all the ways in which people interact with and get help from computers. Since the current changes in the fields of natural language processing and AI in general are so quick, then many aspects of LLMs are not understood, So, adapting them to specific domains is just starting. This includes healthcare, security, business, education, and many others.
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Eligibility

Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) or Masters degree in a relevant subject; interest in artificial intelligence and its applications; good presentation skills; basic knowledge of modern natural language processing would be desirable; prior experience of machine learning would be advantageous.

THE Awards 2019: UK University of the Year Winner
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Project Details

This project will look at a proof-of-concept application to the field of the candidate’s choice. The supervisor can also suggest some choices. Additional challenges such as privacy and safety of the underlying technologies can be explored on the way.

While technical skills such as Maths and programming are useful, the comprehensive understanding of the technologies involved is not crucial, since the most work will be done in-field: designing, testing and assessing a specific application of a LLM. We will work both with in-context learning (ICL), fine-tuning (training) and neural architecture changes if needed. We will use Archie-West Supercomputer Center, which will provide unique opportunity to using LLMs directly, without relying on public commercial APIs.

The project will be supervised by Dr. Dmitri Roussinov, who is a Senior Lecturer (Associate Professor) in the Department of Computer and Information Sciences. He does research in natural language processing and artificial intelligence and their applications, such as medical, security, educational, etc. The candidate will join our team within the Strathclyde iSchool, in the Department of Computer and Information Sciences, and work with a team who undertake research on developing and understanding modern technology in a variety of contexts i.e. analysing patient records, automated question answering, document classification, etc.

The iSchool at Strathclyde, is one of the leading and largest iSchools in the UK, and consists of over 35 staff and researchers working on a variety of problems from machine learning, algorithm bias and explainability to information seeking, retrieval and behaviour to human computer interaction and information interaction.

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Funding details

The supervisor can help you apply for funding.

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Supervisors

Dr Roussinov

Dr Dmitri Roussinov

Senior Lecturer
Computer and Information Sciences

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Professor Dong

Professor Feng Dong

Computer and Information Sciences

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Apply

Please send a copy of your C.V., a sample of writing (a publication or thesis you have written), a sample of code (preferably in python) and information about your interest in the topic area to Dr. Dmitri Roussinov (dmitri.roussinov@strath.ac.uk).

Number of places: 3

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Contact us

To discuss PhD projects in this area and potential funding opportunities please contact Dr. Dmitri Roussinov (dmitri.roussinov@strath.ac.uk).