Overview
The role We are seeking qualified applicants for up to a 2 year position (with possibility to extend to 4) as Research Fellow (postdoc) in Computational Linguistics on the UKRI FLF grant ‘Scaling predictability in Morphological paradigms’, led by Sacha Beniamine. The successful candidate will perform a key role in creating new software tools and employing them to measure predictability in morphology. The position is based at the Surrey Morphology Group at the University of Surrey, in Guildford, and provides the opportunity to work in the vibrant and highly collegial research environment for which the SMG is renowned. The successful candidate will be in charge of the Work Package focusing on New Models, which aims to enable precise and comparable measures of morphological predictability, in order to understand how predictability is organized in realistic, complex inflectional systems. As
Complete fellowship details
Opportunity Details
The role
We are seeking qualified applicants for up to a 2 year position (with possibility to extend to 4) as Research Fellow (postdoc) in Computational Linguistics on the UKRI FLF grant ‘Scaling predictability in Morphological paradigms’, led by Sacha Beniamine. The successful candidate will perform a key role in creating new software tools and employing them to measure predictability in morphology. The position is based at the Surrey Morphology Group at the University of Surrey, in Guildford, and provides the opportunity to work in the vibrant and highly collegial research environment for which the SMG is renowned.
The successful candidate will be in charge of the Work Package focusing on New Models, which aims to enable precise and comparable measures of morphological predictability, in order to understand how predictability is organized in realistic, complex inflectional systems.
As a core member of the team, the successful candidate will use their skills in software development to extend existing software (Qumin) which analyzes morphological lexical data and evaluates inflectional predictability. They will rely on their qualifications in linguistics to study predictability in systems which challenge existing tools and analyses, pushing the edge of what can be reliably measured and contribute to the large comparative study of macro-variation in predictability, gaining experience in linguistic typology. They will collaborate closely with the team in the writing and dissemination of papers and presentations, and be expected to take initiative in the formulation of the research agenda.
About you
The successful candidate will have a dual background in linguistics and software development, with a PhD in computational linguistics, natural language processing, or a related field. The candidate will have a good grasp of linguistic concepts and methods. They will have an interest in the inflectional morphology of at least one language or language family, which can serve as a test-bed for the tools they will develop. They will have experience of software development, and are fluent in Python programming. Candidates with experience programming as part of a team will be preferred. Mastery over software development tools (command line; git management; continuous pipelines and workflows; IDE) is essential. An interest in reproducibility in science will be an advantage. Experience in using these skills to answer linguistic questions is essential.
How to apply
Please submit your application online:
- CV
- Contact details for 2 academic referees.
- Three relevant works of research (DOI/URL links if possible).
- Research statement of one page, describing research interests and experience, and how you think this makes you suitable for the advertised post.
Please do not seek assistance from AI tools in writing this document.
Interviews are planned for Tuesday the 24th of November and will be held online. Please contact Sacha Beniamine, s.beniamine@surrey.ac.uk with any questions.
Closing Date: 30 Oct 2026
Area: Research & Teaching
Salary: £38,448 to £41,885 per annum
Tips for this fellowship
Practical JobOpportunity guidance. These tips do not replace official rules or create new eligibility requirements.
- Check eligibility, funding coverage, study/project level and every required document before investing time in the application.
- Prepare transcripts, references, language tests, proposal/motivation statement and proof documents early.
- Separate the scholarship deadline from any university/program admission deadline; they may be different.
- Treat “fully funded” as a source fact only when the official provider explicitly confirms the covered costs.
JobOpportunity.info helps you discover and organize source listings. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Apply through JobOpportunity →