[Corpora-List] POST-DOCTORAL POSITION IN USING BRAIN DATA FOR SENTIMENT ANALYSIS AT CIMEC/CLIC, UNIVERSITY OF TRENTO

[Massimo Poesio]

POST-DOCTORAL POSITION IN USING BRAIN DATA FOR SENTIMENT
ANALYSIS AT CIMEC/CLIC, UNIVERSITY OF TRENTO

A one-year postdoctoral position in sentiment analysis is available at
the CIMeC/CLIC laboratory of the University of Trento
(http://clic.cimec.unitn.it/) starting as soon as possible from
January 2013. The fellowship has a duration of 1 year.


The successful candidate will join a team of computational linguists
and cognitive neuroscientists using machine learning methods to
extract information about the polarity of words (positive / negative)
from recordings of neural activity (EEG, MEG and fMRI). The main focus
for this particular position will be the Deep Relations project, a
collaboration between CIMEC, Cogito / Expert Systems and Fondazione
Bruno Kessler (FBK). The role of the postdoc in the project will be to
develop methods using brain-derived word polarities to assess the
overall polarity of the text, and to compare these polarities with
those computed using traditional lexical resources for sentiment
analysis such as WordNet Affect or SentiWordnet.

The ideal candidate for the position is a researcher with a PhD in
computer science / electronic engineering, cognitive science /
cognitive neuroscience, or linguistics, with focus on Human Language
Technology and ideally a strong research background in sentiment
analysis or statistical methods in Human Language
Technology. Familiarity with machine learning and programming skills
are a must.

The Language Interaction and Computation Lab (CLIC) is a unit of the
University of Trento's Centre for Mind/Brain Sciences (CIMEC)
(www.cimec.unitn.it): an interdisciplinary Centre for the research in
brain and cognition including neuroscientists, psychologists,
(computational) linguists, computational neuroscientists, and
physicists. CLIC consists of researchers from the Departments of
Computer Science and Cognitive Science carrying out research on a
range of topics, including concept acquisition and information
extraction from very large multi-modal corpora, combining brain data
and data from corpora to study cognition, and theoretical linguistics.

For additional information please contact Massimo Poesio
(massimo.poesio at unitn.it), attaching your CV.

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