Ph.D. Program CMU-PORTUGAL
in the area of Language and Information Technologies
The Language Technologies Institute (LTI) of the School of Computer Science at
Carnegie Mellon University (CMU) offers a dual degree Ph.D. Program in
Language and Information Technologies in cooperation with Portuguese
Universities. This Ph.D. program is part of the activities of the recently
created Information and Communication Technologies Institute (ICTI), resulting
from the Portugal-CMU Partnership.
The Language Technologies Institute, a world leader in the areas of speech
processing, language processing, information retrieval, machine translation,
machine learning, and bio-informatics, has been formed 20 years ago. The
breadth of language technologies expertise at LTI enables new research in
combinations of the core subjects, for example, in speech-to-speech
translation, spoken dialog systems, language-based tutoring systems, and
question/answering systems.
The Portuguese consortium of Universities includes the Spoken Language Systems
Lab (L2F) of INESC-ID Lisbon/IST, the Center of Linguistics of the University
of Lisbon (CLUL/FLUL), the Centre for Human Language Technology and
Bioinformatics at the University of Beira Interior (HULTIG/UBI) and the
linguistics group at the University of Algarve (UALG). These four research
centers (and the corresponding Universities), share expertise in the same
language technologies as LTI, although with a strong focus on processing the
Portuguese language.
Each Ph.D. student will receive a dual degree from LTI and the selected
Portuguese University, being co-supervised by one advisor from each institute,
and spending approximately half of the 5-year doctoral program at each
institute. Most of the academic part willtake place at LTI, during the first
2 years, where most of the required 8 courses will be taken, with a proper
balance of focus areas (Linguistic, Computer Science, Statistical/Learning,
Task Orientation). The remaining 3 years of the doctoral program will be
dedicated to research, mostly spent at the Portuguese institute, with one or
two visits to CMU per year.
The thesis topic will be in one of the research areas of the cooperation
program, defined by the two advisors. Two multilingual topics have been
identified as primary research areas (although other areas of human language
technologies may be also contemplated): computer aided language learning
(CALL) and speech-to-speech machine translation (S2SMT). The doctoral students
will be involved in one of these two projects aimed at building real HLT
systems. These projects will involve at least two languages, one of them being
Portuguese, the target language for the CALL system to be developed and either
the source or target language (or both) for the S2SMT system. These two
projects provide a focus for the proposed research; through them the
collaboration will explore the main core areas in language technology.
The scholarship will be funded by the Foundation for Science and Technology
(FCT), Portugal.
How to Apply
------------
Applications should be received before December 22, 2006. In order to apply,
candidates should fill in the corresponding form at the LTI webpage and
simultaneously send an email to the coordinator of the Portuguese consortium:
Isabel.Trancoso@inesc-id.pt
All questions about the joint degree doctoral program should be directed to
this address.
The applications will be screened by a joint committee formed by
representatives of LTI and representatives of the Portuguese Universities
involved in the joint degree program.
Despite this particular focus on the Portuguese language, applications are not
in any way restricted to native or non-native speakers of Portuguese.
For more information about LTI Ph.D. courses and areas of research, visit the
LTI webpage:
www.lti.cs.cmu.edu
For more information about the consortium of Portuguese universities involved
in this program, visit the corresponding webpages:
www.l2f.inesc-id.pt
www.clul.ul.pt
www.ualg.pt
hultig.di.ubi.pt
Updated information on the CMU-Portugal Program in the area of Language and
Information Technologies may be found at the INESC-ID website.
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