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Research Assistant/Associate - Natural Language Processing (Fixed Term)


Fixed-term: The funds for this post are available for 3 years.

We are looking for one 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 2023 or as soon as possible thereafter. The successful candidate will be based in the Natural Language and Information Processing group (http://www.cl.cam.ac.uk/research/nl/) 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. Particular 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.

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 December 2022.

Enquiries concerning this position should be directed to Prof. Andreas Vlachos (av308@cam.ac.uk).

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

Please ensure you upload a covering letter, a curriculum vitae and contact information of 2 references. 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 NR34125 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