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A prestigious academic institution is inviting applications for a three-year PhD studentship focused on lexical acquisition across languages. The successful candidate will develop computational frameworks for NLP applications, requiring strong programming skills and a Master's degree in a relevant field. This role offers a unique opportunity to work on diverse languages and contribute to advanced NLP research.
Applications are invited for a three-year PhD studentship on the project LEXICAL: Lexical Acquisition across Languages. The project is funded by the European Research Council (ERC) in the form of a Consolidator Grant awarded to Anna Korhonen. The aim is to develop a novel computational framework for learning and transferring lexical information across languages without the need for parallel resources. The project will cover a variety of typologically diverse languages and language domains and will demonstrate the usefulness for NLP applications such as machine translation.
University of Cambridge
The successful applicant will have a good Master’s degree (equivalent of first-class distinction) in computational linguistics, artificial intelligence, computer science, or a related discipline, completed by 30 September 2015. He/she will have strong programming skills and previous experience in NLP and/or machine learning. Previous experience with joint learning and inference may be considered an advantage.
The post is for 3 years starting from 1 October, 2015.
Master Degree
Please mention NLP People as a source when applying
http://www.jobs.cam.ac.uk/job/7109/
Academia, Computational Linguistics, Machine Learning, Machine Translation, Master Degree, NLP, Tagging, United Kingdom