LINGUIST List 18.605
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Fri Feb 23 2007
Jobs: Speech Recognition and Understanding: PhD Position, U of Trento
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Directory
1. Sebastian
Varges,
Speech Recognition and Understanding: PhD Position, University of Trento, Trentino, Italy
Message 1: Speech Recognition and Understanding: PhD Position, University of Trento, Trentino, Italy
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Date: 23-Feb-2007
From: Sebastian Varges <amii dit.unitn.it>
Subject: Speech Recognition and Understanding: PhD Position, University of Trento, Trentino, Italy
University or Organization: University of Trento (Italy) Department: Dept. of Information and Communication Technology Web Address: http://www.dit.unitn.it Job Rank: PhD Position Specialty Areas: Computational Linguistics; Speech Recognition, Spoken Language Understanding Description: POSITION: Ph.D. Research Fellowships (Research Internships also available) TOPIC AREAS: Speech Recognition, Spoken Language Understanding, Dialogue Modeling and Machine Learning LOCATION: The Adaptive Multimodal Information and Interfaces Research Lab at University of Trento (Italy) CLOSING DATE FOR APPLICATIONS: June 1, 2007 START DATE: November 1, 2007 QUALIFICATIONS REQUIRED: The Ph.D. researchers should have a background (Laurea, MA or equivalent) in speech/text processing, machine learning, computational linguistics, computer science or cognitive science, and strong academic records. The Ph.D. positions are funded for 3 years. The Ph.D. students will be able to participate in the international Ph.D. program of the ICT Department (http://ict.unitn.it/). The applicants should be fluent in English. The Italian language competence is optional and applicants are encouraged to acquire this skill during their Ph.D. studies. The applicants should have good programming skills in conventional programming languages C++/Java//Perl/Python) and experience in rule-based, logic or functional programming. INTERNSHIPS REQUIREMENTS: The applicants should have, or should be about to finish their Master (CS, EE, Cognitive Science), and have some background in speech/text processing, machine learning, computational linguistics, or cognitive science. The applicants should be fluent in English and have good programming skills. Applications for research internships are possible at any time. THE RESEARCH LAB: The Adaptive Multimodal Information and Interface (AMI2) research lab pursues excellence research in next-generation interfaces for human-machine and human-human communication. The AMI2 lab has a state-of-the-art technology infrastructure and collaborations with premiere international research centers and industry research labs. The Ph.D. research fellowships are funded by the prestigious Marie Curie Excellence grant awarded by the European Commission for cutting edge and interdisciplinary research. There have been many advances in the field of speech recognition and text-to-speech synthesis in the last decade. However, human-machine conversational system are still severely limited in the ability to understand and interact. The general research challenge of the project is to investigate innovative multimodal interfaces that will be adaptive, affective, usable and knowledgeable. About University of Trento and Information and Communication Technology Department: The University of Trento is constantly ranked as premiere Italian graduate university institution (see http://www.dit.unitn.it). - The DIT Department has a strong focus on interdisciplinarity with professors from different faculties of the University (Physical Science, Electrical Engineering, Economics, Social Science, Cognitive Science, Computer Science) with international background. - DIT aims at exploiting the complementary experiences present in the various research areas in order to develop innovative methods and technologies, applications and advanced services. - English is the official language. Application Deadline: 01-Jun-2007 Application Address: Dr Sebastian Varges Department of Information and Communication Technology Via Sommarive 14 Povo di Trento, Trentino 38100 Italy Contact Information: Dr Sebastian Varges Email: amii dit.unitn.it Phone: +39 0461 88 3994 Fax: +39 0461 88 2093
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