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

Fixed-term: The funds for this post are available for 18 months. We are looking for a Research Assistant/Associate to work on the project FEVER-IT: Fact Extraction and VERification with Images and Text funded by the Alan Turing Institute and DSO labs, Singapore. 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 constructing a dataset and developing approaches enabling the verification of claims which require both text and images as 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 (multimodal NLP in particular), Machine Learning, and proven communication skills. Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded. 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 January 2024. We are looking to start the project in February 2024, so as soon as possible after that. 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 world 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: https://www.cst.cam.ac.uk  to find out more about our Department. The University has a responsibility to ensure that all employees are eligible to live and work in the UK. Please note that we provide the support of applying for the relevant visa (if required) and we reimburse the cost of the first visa. Enquiries concerning this position should be directed to Prof. Andreas Vlachos (av308@cam.ac.uk), and applicants are encouraged to contact him regarding the position. To apply online for this vacancy and to view further information about the role, please click on the 'Apply' button above. Required documents include a cover letter, a curriculum vitae, a brief research statement, and contact information for two 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 NR40026 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.