Date: 08 Feb 1996 ----------------- ====================================================================== TOPICS: 1. JOB AVAILABLE: Natural Language Engineering - Univ of Sunderland 2. JOB OFFER: Language/Knowledge/Software Engineer - MARI Computer Systems - UK 3. JOB OFFER: RA posts at Sheffield, UK ====================================================================== Topic 1: Subject: JOB AVAILABLE: Natural Language Engineering Date: Mon, 5 Feb 96 09:55:24 GMT From: eric@scs.leeds.ac.uk The University of Sunderland is appointing a Research Assistant to work on the EU Framework IV Project MABLe for approximately 2 years initially, with an expectation that the project and hence the post will be extended for a third year. The research assistant will be expect to make a substantial linguistic and technical contribution to the MABLe project, which is providing a Computerised Assistant to help non-native speakers of English produce good quality English Business Correspondence. Information about Mable may be found on the World Wide Web via URL: http://www.mari.co.uk/~mable/ The Natural Language Engineering Group at the University of Sunderland has 5 active members at present. Bran Boguraev of Apple is a visiting professor with the group, and Eric Atwell (currently of Leeds University) will be joining the group as Reseach Professor on 1 September 1996. In particular the appointed person will be expected to: develop a formal structural description of business letters and a database of commercial English phrases; develop Greek/English and Spanish/Greek transfer lexica in collaboration with our Spanish and Greek partners (from existing linguistic resources); contribute to software development on the Heidelburg PLAIN parser/generator (with the University of Heidelburg). contribute to the development of a hyper-text or wizzard like user interface for the MABLE system; contribute to miscellaneous documentation, system testing and reporting activities. Applicants will be expected to have a degree in Computer Science or Linguistics or related disciplines, and ideally a masters degree in Computational Linguistics or a related area. Suitably qualified applicants will be given the opportunity to register for a Ph.D. Salary: upto 13 100 U.K. pounds depending on age, qulaifications and experience. (There may be an opportunity to appoint on the post-doctoral scale at a higher salary for candidates with a Ph.D. or equivalent experience). Clsoing date for applications 20 February 1996. Further information from: --------------------------------------------------------------------------- Dr. John I. Tait University of Sunderland School of Computing and Information Systems Priestman Building Green Terrace Sunderland SR1 3SD U.K. Tel: +44-191-515 2712 Fax: +44-191-515-2781 Email: john.tait@sunderland.ac.uk WWW home page: http://osiris.sunderland.ac.uk/jta/home ====================================================================== Topic 2: Subject: Job opening for a Language/Knowledge/Software Engineer Date: Mon, 5 Feb 1996 14:31:58 +0000 (GMT) From jeremy@mari.co.uk Mon Feb 5 17:26:34 1996 JOB Opening for a Language/Knowledge/Software ENGINEER MARI Computer Systems are currently recruiting a software engineer to work on the work on the EU funded, Language Engineering, Project TREE. This aims to develop a multi-lingual Internet based employment advertising service. Information extraction techniques will be used to transfer source adverts to a common template format. Multi-lingual generation will then allow reading or browsing of the adverts in a variety of languages. Further information about Tree may be found on the World Wide Web via URL: http://www.mari.co.uk/~tree/ In particular the appointed person will be expected to: develop an extended template classification of employment adverts, including personality and career descriptions of applicants, descriptions of companies aspirations and locations etc. Collaborate with consortium partners involved in Information Extraction and Generation activities. contribute to the web site user interface development. contribute to miscellaneous documentation, system testing and reporting activities. Salary: Initially on the scale 14277-17000 U.K. pounds depending on qualifications and experience. The ideal candidate will have (or expect to have shortly) a higher degree with a substantial Language Engineering content. He or she will be capable of working in a team with different theoretical orientations, as well as carrying out more traditional software engineering tasks. The position will be based at the new Wansbeck Business Centre at Ashington in Northumberland and within easy commuting distance of bustling city of Newcastle upon Tyne. Consortium partners include UMIST Computational Linguistics Laboratory, Manpower, and the University of Gothenberg For further information please contact Jeremy Ellman, preferably before 20/2/96. MARI Computer Systems Wansbeck Business Park Ashington Northumberland NE63 8QZ UK Phone: 091 402 1265 Fax: 091 402 1112 E-mail: Jeremy.Ellman@mari.co.uk, (Apologies to multiple recipients) ====================================================================== Topic 3: From: K.Humphreys@dcs.shef.ac.uk (Kevin Humphreys) Subject: RA posts at Sheffield, UK Date: 06 Feb 1996 14:50:44 +0000 ---------------------------------------------------------------------------- 3 Research Associate posts available 1st March 1996 ---------------------------------------------------------------------------- Department of Computer Science, University of Sheffield, UK ---------------------------------------------------------------------------- Research Associateships Applications are invited for 3 research posts in natural language engineering tenable from 1 March 1996. One post is associated with a grant from the UK Engineering and Physical Science Research Council on information extraction and will be for 24 months. The other two projects are AVENTINUS, an advanced multi-media multilingual data mining and information retrieval system, and EURO-WORDNET, a European language version of the successful Wordnet lexical database. Both appointments will be for 36 months. Candidates should apply for either of the two information extraction posts or the Wordnet post, and we shall conduct interviews for them jointly. Our Eurpoean partners include Siemens, Thomson-LCR, and the Universities of Rome, Fribourg, Gothenburg, and Athens. Some travel may be required. Candidates should already have some research experience in computing and / or computational linguistics / natural language processing. Experience with computational lexicons and lexical networks, such as WordNet, would be useful, particulary for the lexical post. Applications are particularly sought from those currently completing relevant MSc or PhD programmes or involved in post-doctoral research. Skills in C[++], Prolog, graphical interface building (especially with Tcl / Tk), and the UNIX operating system would also be an advantage. Sheffield Computer Science is one of the leading centres of language engineering research in the UK. Our work includes: information extraction from electronic news and the internet; auto-generated grammatical and lexical resources in support of large-scale text processing; pragmatics-based dialogue systems for language-based human-computer interaction. We have a large and increasing number of full-time research staff and a substantial hardware infrastructure based on new Sun workstations. Salaries will be on the scale for Research Staff, 14,317 to 26,430 pounds pa, according to experience. Closing date for applications is 23 February 1996. Informal enquiries about RAships should be made with CVs to: Prof. Yorick Wilks Department of Computer Science University of Sheffield Regent Court, 211 Portobello Street Sheffield S1 4DP, U.K. email: Y.Wilks@dcs.shef.ac.uk phone: +44 (0)114 282 5563 fax: +44 (0)114 278 0972 Further information about the Sheffield NLP group's activities can be seen at http://www.dcs.shef.ac.uk/research/groups/nlp/ ====================================================================== eof ======================================================================