PhD Studentship in Computational Linguistics: The University of Exeter is offering a funded PhD studentship in “Interpreting Language Representations in Large Language Models.” This research position aims to investigate how large language models represent and process linguistic knowledge, utilizing methodologies from computer science, linguistics, and neuroscience.
Designation
PhD Studentship in Computational Linguistics
| Field | Details |
|---|---|
| Research Area | Natural Language Processing, Computational Linguistics |
| Location | Streatham Campus, University of Exeter |
| Eligibility/Qualification | – First or Upper Second Class UK Honours degree (or equivalent) in Computer Science, Mathematics, Engineering, Cognitive Science, or Linguistics. – Strong programming skills and interest in language models and human-centred NLP. – Non-native English speakers must provide proof of English proficiency. |
| Duration of Award | 3.5 years full-time |
Description
This PhD project focuses on the computational modeling of linguistic capabilities in AI systems, particularly large language models (LLMs). The successful candidate will engage in a vibrant research environment, defining their research direction in collaboration with supervisors. Training in natural language processing and machine learning will be available, supporting the student’s academic and research endeavors.
How to Apply
To apply, candidates must submit the following documents:
- CV
- Letter of application outlining academic interests and prior research experience
- Transcript(s) detailing subjects studied and grades (Interim transcripts accepted if still studying)
- Two references from academic referees (can be emailed directly by referees)
- Proof of English language proficiency (if applicable)
Applications can be submitted by clicking the ‘Apply Now’ button on the University of Exeter’s webpage.
Last Date for Application
Midnight, 28th July 2025
Interviews will take place virtually in the week commencing 4th August 2025.
For further information, please quote reference number 5555 in all correspondence.
