University of Cambridge

Job Opportunities


Research Assistant/Associate in Natural Language Processing and Machine Learning x 2

The Cambridge Institute for Automated Language Teaching and Assessment (ALTA) is seeking two Research Assistants or Research Associates in Natural Language Processing and Machine Learning to join their strong team of researchers in the Department of Computer Science and Technology.

ALTA is a virtual institute which brings together researchers from Computer Science, Engineering, Linguistics and Language Assessment to investigate new ways of using technology to enhance language learning and to develop cutting-edge approaches to assessment which will benefit learners and teachers worldwide.


The successful applicant will be working in EdTech based on LLM technology and will focus on at least one of the following areas: automated assessment of language learners, explainable models of assessment, learning-content generation, or adaptive learning. In all cases, the candidate must have a directly relevant PhD (or must be close to completion). The candidate is expected to have knowledge and experience of computational techniques relevant to natural language processing and machine learning, including an understanding and experience with pre-trained language models. The candidate will need to be confident communicating in cross-disciplinary forums.

This position can be filled by an appropriate candidate at research assistant or research associate level, depending on relevant qualifications and experience. Appointment at research associate level is dependent on having a PhD (or equivalent experience). Where a PhD has yet to be awarded, appointment will initially be made as a research assistant and amended to research associate when the PhD is awarded.

Please provide a CV and covering letter. If you upload any additional documents which haven't been requested, we will not be able to consider these as part of your application.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Candidates can make an informal enquiry to Professor Paula Buttery ( prior to submitting a formal application.

Funds for these positions are available until 30 September 2024 in the first instance, with potential for extension.

Please quote reference NR36753 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Apply online