[Elsnet-list] Industry-Linked Post-Doc Position in Language Technology

Moritz Neugebauer moritz.neugebauer at ucd.ie
Wed Jun 16 14:53:07 CEST 2004


Industry-Linked Post-Doc Position in Language Technology

 Ref No.: 001695 

 Applications are invited for a 3-year industry-linked postdoctoral research 
position at the Department of Computer Science, University College Dublin, in 
a research initiative in the area of multilingual speech and language 
technology funded by Science Foundation Ireland. Ubiquitous language 
technology concerns the development of language technologies for different 
purposes on different platforms so that they can be made available to 
everybody at all times rather than to a select group for specific purposes. 
MUSTER  Multilingual Ubiquitous Speech Technology: Enhanced and Rethought 
combines a rethinking of current approaches to speech and language 
technologies with an enhancement based on information of varying levels of 
granularity paving the way for the development of robust multilingual 
applications which are easily scalable. The studentships are funded as part 
of a collaboration between the MUSTER project and the IBM Software Lab in 
Dublin. The MUSTER team at University College Dublin is made up of 
researchers from computational linguistics, speech technology, experimental 
phonetics and computer science. The IBM team develops a linguistic analysis 
toolkit which is used to provide linguistic capabilities (e.g. segmentation, 
morphological analysis, spell correction etc.) to a wide variety of IBM 
products (e.g. knowledge management, machine translation, text categorization 
etc.). These tools support over 30 languages from all parts of the world. Due 
to the demanding environment in which these tools work, the toolkit is 
required to be very robust and fast. 

 The defined area of research for the post-doctoral position is the automatic 
acquisition of structured multilingual knowledge for speech and language 
applications. The research will focus on integrating techniques which are 
being developed in the MUSTER project with ongoing product-based research at 
IBM Dublin Software Lab. 

 The successful candidate will be expected to be have a PhD degree in Computer 
Science or related discipline and expertise in machine learning, finite state 
techniques and state-of-the-art computational linguistic models. Previous 
publications in a related area are essential. The successful candidate will 
work as part of the MUSTER team and spend a proportion of their time at the 
IBM Lab. Further information on the MUSTER project, together with 
publications, can be found at the project web page: http://muster.ucd.ie 

 Candidates should submit a full CV, list of publications and names of two 
referees by Wednesday 30th June 2004 to 

 Dr. Julie Berndsen
 Department of Computer Science
 University College Dublin
 Belfield
 Dublin 4
 Ireland 

 Email: Julie.Berndsen at ucd.ie
 Tel: +353 1 7162493
 Fax: +353 1 2697262 

 University College Dublin is an equal opportunities employer. 



More information about the Elsnet-list mailing list