[Corpora-List] Job: 2-Year Postdoc Position in Computational Neuroscience of Language at CIMeC/CLIC, Univ. Trento

[egon w. stemle]

A two-year postdoctoral position in the computational neuroscience of
language will be available at the CIMeC/CLIC laboratory of the
University of Trento (http://clic.cimec.unitn.it/) starting as soon as
possible from January 2012. The fellowship has an initial duration of
2 years.

The successful candidate will join a team using machine learning
methods to extract semantic information from recordings of neural
activity (EEG, MEG and fMRI). The main focus for this particular
position will be two research collaborations:
- the ADAM project, a collaboration with the University of Trento's
    Centre for Neurocognitive Rehabilitation (CERIN) and the Cognitive
    Neuropsychology Lab at Beijing Normal University, to develop an
    EEG-based diagnosis system to identify language deficits in stroke and
Alzheimer's patients.
- the Deep Relations project, a collaboration with Expert Systems /
    Cogito to explore the use of EEG analysis techniques in detecting
    emotional reaction to text.

The successful candidate should have a PhD in computer science /
electronic engineering, cognitive science, or neuroscience, with technical
knowledge of cognitive science and machine learning and experience
with neuroimaging techniques, EEG analysis methods (e.g., in BCI),
experimental design (elicitation/behavioural), machine learning and
signal processing; programming skills are a must, technical knowledge
of computational linguistics a plus.

The Language Interaction and Computation Lab (CLIC) is a unit of the
University of Trento's Centre for Mind/Brain Sciences
(www.cimec.unitn.it) or CIMEC: 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 methods of
theoretical linguistics.

For additional information please contact Massimo Poesio
(massimo.poesio at unitn.it) or Andrew Anderson (andrew.anderson at
unitn.it), attaching your CV.

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