Applications are invited for a one year Research Assistant / Research Associate post on the project LEXICAL: Lexical Acquisition across Languages.
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. The post holder will take part in performance evaluation in terms of practical applications, and dissemination of research findings.
The successful candidate must have either completed or being close to completing their PhD in computational linguistics before starting their appointment. If they have not yet been awarded their PhD, they will initially be appointed as a Research Assistant (Salary £25,298- £29,301), and be promoted to Research Associate (Salary £31,076 - £38,143) on award of the PhD.
The successful candidate will be able to demonstrate an excellent track record of independent research and strong publications. Previous experience with lexical acquisition, deep learning and the development of tools for practical evaluation with end users is required.
Fixed-term: The funds for this post are available for 12 months in the first instance. This is a 100% FTE post. The appointment will run from 2nd October 2017 for 12 months, and is subject to satisfactory completion of a probationary period of six months.
To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
In order for your application to be considered, please upload a covering letter, a detailed curriculum vitae, a list of publications and one sample of a recent publication. You must also provide the names and contact details of two referees who are familiar with your work in the relevant field and whom we can contact for a reference once the vacancy has closed.
Please quote reference GZ12545 on your application and in any correspondence about this vacancy.
Closing Date: Midnight (BST) on 23 July 2017
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