Fixed-term: The funds for this post are available until the 31 July 2021.
We are seeking a Research Assistant to work on two Computer Science projects involving natural language processing and machine learning research, both at the Department of Computer Science and Technology.
The first is a new Global Challenges Research Fund project involving the development of machine translation systems for the dissemination of public health information in low resource translation settings. The Research Assistant will spend 60% of their time on this project. The remaining time will be spent with the Automated Language Teaching & Assessment Institute, working on research and applications for education technology. The position will involve collaboration with others, communication with end users, and most likely some remote working. The project will involve the development of machine translation systems for the dissemination of public health information in low resource translation settings. The role will involve collaboration with others, communication with end users, and most likely some remote working.
The opening is suitable for a candidate with a good Master's degree in Computer Science. Evidence of an interest in Computational Linguistics research is essential; experience with machine translation techniques is desirable.
Candidates can make an informal enquiry to Dr Andrew Caines (firstname.lastname@example.org) prior to submitting a formal application.
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Please quote reference NR23962 on your application and in any correspondence about this vacancy.
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