[Elsnet-list] Placing job ad

Sebastian Varges varges at dit.unitn.it
Sun Feb 11 18:56:12 CET 2007


Hello,

we have PhD studentships, and also internships at the Adaptive  
Multimodal Information and  Interfaces  Research Lab at
University of Trento, Italy.  We would like to post this on http:// 
www.elsnet.org/jobs/   The job advert in plain text format is  
included below.
Please ask me if you need any further information.

Also, is there is an alternative way to publish job adverts on Elsnet  
where one can upload documents (pdf)? (We can provide the same advert  
as a pdf document.)

Many thanks,

--Sebastian Varges


Sebastian Varges
Dipartimento di Informatica e Telecomunicazioni
Via Sommarive, 14
I-38050 POVO (TN) - Italy

email:  varges at dit.unitn.it
phone:  +39 0461 88 2081
http://www.dit.unitn.it/~varges/

------------------------------------------------------------------------ 
------------

The Adaptive Multimodal Information and  Interfaces  Research Lab at
University of Trento (Italy) has openings in the following areas:

PHD RESEARCH FELLOWSHIPS
RESEARCH INTERNSHIPS

Topic areas:  Automatic Speech Recognition, Spoken Language
Understanding, Dialogue Modeling, Machine Learning

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 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.

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. Researchers:   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.

The University of Trento is an equal opportunity employer. Interested
applicants should submit their CV along with their statement of
research interest and reference letters before March 31, 2007.
Applications for research internships are possible at any time. It is
recommended to contact us (Email: amii at dit.unitn.it) before submitting
a formal application:

Prof. Ing. Giuseppe Riccardi         Dr. Sebastian Varges
http://www.dit.unitn.it/~riccardi     http://www.dit.unitn.it/~varges

-----------------

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.


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