Research Assistant in Language

University of Cambridge

Fixed-term: The funds for this post are available for 2 years.

The Department of Computer Science and Technology is an academic department that encompasses computer science along with many aspects of engineering, technology and mathematics. We have a word wide reputation for academic research with consistent top research ratings. The Department has an open and collaborative culture, supporting revolutionary fundamental computer science research, strong cross-cutting collaborations internally and externally, and ideas which transform computing outside the University. Please follow the link at: to find out more about our Department

We are looking for a Research Assistant/Associate to work on the project Automated Verification of Textual Claims (AVeriTeC), an ERC project led by Prof. Andreas Vlachos at the University of Cambridge starting in January 2024 or as soon as possible thereafter. The successful candidate will be based in the Natural Language and Information Processing group ( at the Department of Computer Science and Technology. The project will focus on developing approaches enabling the verification of highly complex claims, which require multiple pieces of evidence. Special focus will be paid to accompanying the verdicts with suitable justifications.

Candidates will have completed a Ph.D. (or be close to completing it) in a relevant field such as NLP, Information Retrieval, Artificial Intelligence or Machine Learning and be able to demonstrate a strong track record of independent research and high-quality publications. Essential skills include excellent programming (Python), NLP techniques, Machine Learning, and proven communication skills.

Appointment at research associate level is dependent on having a PhD or having equivalent skills and experience through non-academic routes. 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.

Enquiries concerning this position should be directed to Prof. Andreas Vlachos (, and applicants are encouraged to contact him regarding the position.

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You will need to upload a full curriculum vitae (CV) and covering letter. Candidates must provide the names and contact details of two referees who are familiar with their work in the relevant field whom we can contact for a reference before the interviews, which are expected to take place in September 2023. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please quote reference NR37991 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.

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