Post-doctoral Research Associate
Deadline for applications: 6 June, 2016 Start date: 1 September, 2016 Duration: 3 years Details of how to apply: http://www.jobs.cam.ac.uk/job/10073/
The position will be part of the LEXICAL (Lexical Acquisition across Languages) project, funded by the European Research Council (ERC) in the form of a Consolidator Grant awarded to Anna Korhonen. The aim of the project 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.
The position is for 3 years starting from 1 September 2016. 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 and networking skills. Previous experience with deep learning and/or joint learning and inference may be considered an advantage.
The RA will work with Anna Korhonen as part of the ERC project team. S(he) and will be a member of the vibrant and highly research-active Language Technology Lab (http://ltl.mml.cam.ac.uk) at the Department of Theoretical and Applied Linguistics and the large community of NLP researchers in the University of Cambridge.
Details of how to apply can be found at: http://www.jobs.cam.ac.uk/job/10073/
Informal enquiries may be addressed to Anna Korhonen (alk23 at cam.ac.uk).
-- Anna Korhonen Reader in Computational Linguistics Language Technology Lab DTAL, University of Cambridge http://www.cl.cam.ac.uk/~alk23/ -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 2640 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20160601/11310120/attachment.txt>