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 Macro-variation, which aims to improve the current data coverage to study the range of variation in predictability across languages.
As a core member of the team, they will use their knowledge of linguistic typology and morphological variation to define a strategic sample of languages which will form the empirical basis of the project. They will coordinate a series of targeted studies on the selected language sample, and contribute to the large comparative study of macro-variation in predictability. They will collaborate closely with the rest of 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 PhD in linguistics (or related field), with expertise in both morphology and typology. They will be a specialist of morphological typology, with past postdoctoral experience. They will have experience with linguistic data management and creation, including but not limited to lexical resources. They will have expert knowledge of the morphology of a specific language or language family, and curiosity about other systems. Some additional experience with Romance linguistics and romance diachrony will be advantageous (facilitate collaboration with the project’s PhD student).
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 Thursday the 26th of November, and will be held online. Please contact Sacha Beniamine, s.beniamine@surrey.ac.uk with any questions.
Further details
Job Description
