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THE UNIVERSITY OF SHEFFIELD Department of Computer Science RESEARCH OPPORTUNITIES in LANGUAGE PROCESSING Seven researchers are required to work on four projects within the Natural Language Processing Group at the Sheffield University Department of Computer Science. These positions include opportunities for candidates who both do and do not have a specific language processing background. The Department of Computer Science at Sheffield University is a leading European centre for research in the area of Computational Linguistics and Language Engineering. The Natural Language Processing Group (http://nlp.shef.ac.uk/) was founded nine years ago under the leadership of Professor Yorick Wilks, and now has over thirty members (including faculty, researcher staff, postgraduate students, and administrative and technical support staff). The group has special expertise in a range of areas, including information extraction, software architectures for natural language processing, dialogue and conversational systems, and lexicons and ontologies. Membership of such a large and well-funded research group brings many advantages. The group provides an excellent research environment, with the benefits of shared expertise, opportunities for intellectual exchange and collaboration, and a good computing, research and administrative infrastructure. In addition, the group's success in winning research funding provides the potential for longer-term employment, through researchers being hired onto further grants. A brief sketch of the projects and positions follows. Project 1 - CLEF The Clinical E-Science Framework (CLEF) project seeks to advance the handling of healthcare information about cancer patients to better support both clinical care and research. Funded by the UK Medical Research Council, this three year project starts in October 2002, and includes both partners having a focus on technological issues (the universities of Manchester, Sheffield and Brighton) and on clinical issues (UCL/CHIME, the Royal Marsden NHS Trust, the Judge Institute of Management at Cambridge). Lead investigators: Robert Gaizauskas, Mark Hepple. Position 1 (Ref Number PR560) A person with experience in language processing, preferably with a PhD in Computer Science or a related area. Background in either information extraction or computational terminology will be an advantage. Role: evelopment/adaptation of language technology for information extraction from clinical report texts. Position 2 (Ref Number PR561) This researcher will contribute to the analysis of the work of clinical data managers and the purposes that information extracted from clinical reports can serve, and will contribute to the design (and possibly implementation of) the language processing system interface. Knowledge of the following areas will be an advantage: human-centred issues in information systems design, clinical domains and clinical language, software technology for interface construction. Project 2 - CUB REPORTER This project aims to advance the state of the art of several language processing technologies (information extraction, question answering, multidocument summarisation) through the development of a system to find and collate relevant background information from archival sources for use by a journalist in the context of a "breaking" news story. Funded by the UK Engineering and Physical Sciences Research Council (EPSRC), this three year project is a collaboration between the departments of Computer Science and Journalism at Sheffield University and the Press Association, the major UK domestic newswire service. Its start-date, yet to be fixed, will be sometime late 2002 or early 2003. Lead investigator: Robert Gaizauskas. Position 1 (Ref Number PR562) A person with experience in language processing, preferably with a PhD in Computer Science or a related area. Background in either information extraction, question answering, or summarisation will be an advantage. Role: development and integration of novel language technologies for information extraction, question answering and multidocument summarisation over newswire texts. Position 2 (Ref Number PR563) This researcher will contribute to the analysis of the work of journalists and how they synthesise background information when writing, and will contribute to the design (and possibly implementation of) the language processing system interface. Knowledge of the following areas will be an advantage: human-centred issues in information systems design, software technology for interface construction, corpus construction and text analysis. Project 3 - DOT.KOM This research project aims to design and implement innovative methodologies and services for the Semantic Web, based on adaptive information extraction (IE) from web documents. Dot.kom is funded by the European Commission and will last 30 months, starting from October 2002. Partners are: the University of Sheffield (main contractor), the Open University (UK), the University of Karlsruhe (D), ITC-Irst (I), Quinary (I) and Ontoprise (D) plus a number of user companies organised in a user group. Lead investigator: Fabio Ciravegna. Position 1 (Ref Number PR564) A person with experience in language processing (possibly IE) or machine learning, preferably with a PhD in Computer Science or related area. Role: high-level research and application development for adaptive IE for the Semantic Web. Position 2 (Ref Number PR565) A person with a degree in Computer Science or related area with excellent programming skills, preferably in Java. Experience in language processing and/or machine learning are a plus. Role: research and development for services for the Semantic Web based on IE; system integration. For both positions, knowledge of Italian and/or German are a plus. Project 4 - FASiL The FASiL project seeks to advance the processing of spoken dialogue, through the development of a spoken language system that embodies conversational and multi-modal interaction via a mobile device. Partners in this European Commission funded project include Vox Generation and Speechworks. The project will last two years, starting around October 2002. Lead Investigator: Yorick Wilks Position (Ref Number PR566) An experienced researcher, preferably with a PhD, who has an interest in/experience of some of the following topics: machine learning, dialogue processing and grammar induction. For all posts Salaries: within range of 17,626 to 36,491 euros, depending on qualifications and experience. Terms & Conditions: Research Staff Length of contract: See individual projects above (ranging from 2 to 3 years). Start Date: 1 October 2002 (or as soon as possible thereafter depending on project) Closing date: 7 August 2002, although applications received after this date will be considered until the posts are filled. All positions are subject to final confirmation of project contracts. Informal enquiries for all posts: Ms Linda Perna Research Coordinator Tel: +44 (0)114 222 1815 Email: l.pernaMail to author|Respond to list|Read more issues|LINGUIST home page|Top of issuedcs.shef.ac.uk How to apply To apply for a one of the above vacancies first obtain an Application Pack from Personnel Services via one of the following methods: online: - see http://www.shef.ac.uk/jobs/how_to_apply.php by phone: - call the 24 hour telephone answering service:- +44 (0)114 222 1631. by post: - write to Personnel Services, Firth Court, Western Bank, Sheffield, S10 2TN, United Kingdom. by fax: - +44 (0)114 222 1624. collect in person: - Personnel Services reception, 10 - 12 Brunswick Street, Sheffield, S10 2FN. Please ensure that you include the reference number of the post and your full postal address when requesting details, otherwise you will incur added delay in the information being sent out to you. Requests for packs to be posted will normally be mailed out on the working day following that on which the request is received.