Editor for this issue: Sarah Murray <sarah
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University or Organization: Edinburgh University Department: School of Informatics Rank of Job: Post Doc Specialty Areas: Computational Linguistics, Natural Language Generation Description: http://www.jobs.ac.uk/jobfiles/PL382.html Research Associate/Fellow Natural Language Generation School of Informatics Edinburgh Univeristy The HCRC, in the School of Informatics, University of Edinburgh, is seeking a researcher, at postdoctoral level or with equivalent research experience, to work on aspects of Natural Language Generation (NLG). NLG research at the HCRC currently focuses on: * generating intelligent feedback in tutorial dialogues * reaction to the student's motivational state in tutorial dialogues * generation, information structure, and intonation in dialogue systems. This position involves adaptive linguistic realization of tutorial dialogue moves, in written English, based on student and situational models, in domains such as calculus and basic electricity and electronics. You will have expertise in Natural Language Generation and dialogue systems. An interest in machine learning is also desirable. Good programming skills in Java, XSLT, LISP and/or Prolog, and experience with XML are highly desirable. The appointment has an initial fixed duration of up to 30 months, with opportunities for continuation, and is expected to start immediately. Informal enquiries to Oliver Lemon (olemonMail to author|Respond to list|Read more issues|LINGUIST home page|Top of issueinf.ed.ac.uk) Fixed Term: 30 months initially Salary Range: �18,265 - �27,339 or �25,451 - �33,679 p.a. (under review) Please quote ref: 3001853JW To apply online or view more job opportunities, visit our website. Alternatively, telephone the recruitment line on +44 (0)131 650 2511. http://www.jobs.ac.uk/jobfiles/PL382.html Address for Applications: Attn: Dr. Oliver Lemon HCRC, 2 Buccleugh Place Edinburgh, EH8 9LW United Kingdom Position is open until filled. Contact Information: Dr Oliver Lemon Email: olemon
inf.ed.ac.uk Tel: 0131 650 4443 Website: http://www.inf.ed.ac.uk