Applications are invited for a three-year Research Associate post 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 modeling framework for learning and transferring lexical and semantic 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.

Responsibilities of the successful candidate include research into novel techniques for learning lexical and semantic information from multilingual text data, drawing from recent advances in the areas of lexical acquisition, computational semantics, multilingual NLP and machine learning (in particular, deep learning and joint learning and inference). The post holder will also take part in performance evaluation, and dissemination of research findings.


University of Cambridge


The successful applicant will have completed a Ph.D. degree in computational linguistics, artificial intelligence, machine learning, computer science, or a related discipline and will be able to demonstrate an excellent track record of independent research and strong publications. Essential skills include: excellent programming skills, statistical natural language processing techniques, machine learning, as well as proven collaborative/communication/networking skills. Previous experience with deep learning and/or joint learning and inference may be considered an advantage.

Specific requirements:

Duration: 3 years

Educational level:

Ph. D.

How to apply:

Please mention NLP People as a source when applying


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About University of Cambridge

The University of Cambridge is a public research university based in England and is one of the oldest universities in the world.