Oferta de beca: Phonetics / Speech Technology: PhD Student, U. of Edinburgh, United Kingdom

[Eulalia de Bobes - Infoling]

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Oferta de beca:
Phonetics / Speech Technology: PhD Student
University of Edinburgh, United Kingdom

Información de Maria Wolters <mwolters at inf.ed.ac.uk>
distribuida por The Linguist List: http://linguistlist.org/
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Institution/Organization: University of Edinburgh
Department: Centre for Speech Technology Research
Web Address: http://www.cstr.ed.ac.uk
Level: PhD
Duties: Project Work
Job Rank: PhD
Specialty Areas: Phonetics

Description:

Interdisciplinary Short-Term Fellowships in Speech Research

Edinburgh Speech Science and Technology (EdSST) is an 
interdisciplinary research training programme that aims to close 
the gap between speech science and speech technology. It is 
supported by the Early Stage Research Training (EST) scheme of 
the EU Marie Curie Programme. EdSST is a collaboration between 
two major speech research institutes: the Centre for Speech 
Technology Research, University of Edinburgh, and the Speech 
Science Research Centre, Queen Margaret University. It covers six 
main research areas: articulatory phonetic instrumentation and 
modeling; speech synthesis; speech recognition; human-computer 
dialogue systems; inclusive design for speech technology; 
augmentative and alternative communication

Two Short-Term Fellowships in quantitative analysis and modeling 
of articulatory data are available. These Short-Term Fellowships, 
with a typical duration of six months, provide an opportunity for 
outstanding early stage graduate researchers and PhD candidates 
to conduct a well-defined research project at CSTR and SSRC. The 
research project should be interdisciplinary; outcomes should be 
  of interest to both the speech science and the speech 
technology communities.

Within EdSST, expertise and facilities in articulatory 
instrumentation and modeling includes electromagnetic 
articulography (EMA), electropalatography (EPG), ultrasound, 
motion capture, and facial analysis. Speech technology expertise 
includes speech synthesis, speech recognition and machine learning.

Applicants should have a first or upper second class honours 
degree or a Masters in Informatics, Phonetics, Speech Science, 
Linguistics, or Speech and Language Therapy and fulfil the Marie 
Curie EST selection criteria 
(http://europa.eu.int/comm/research/fp6/mariecurie-actions/pdf/faq_est.pdf).

Please contact the Project Manager, Maria Wolters, before applying.

Applications Deadline: 25-Jan-2008

Web Address for Applications: 
http://www.jobs.ed.ac.uk/vacancies/index.cfm?fuseaction=vacancies.detail&vacancy_ref=3008181

Contact Information:
    Dr Maria Wolters
    <mwolters at inf.ed.ac.uk >

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