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SPM  February 2015

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Subject:

postdoc position at MIT

From:

Francisco Pereira <[log in to unmask]>

Reply-To:

Francisco Pereira <[log in to unmask]>

Date:

Thu, 19 Feb 2015 09:12:23 -0500

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (40 lines)

POSITION OPENING: We are looking for a postdoctoral researcher for a
1-year position (possibly extendable by another year), to work in an
interdisciplinary project investigating the representation of semantic
information in the brain and how it is used during sentence
comprehension.

The project is a collaborative effort across the labs of Ev Fedorenko
(MGH/MIT) and Nancy Kanwisher (MIT), within a team in the IARPA
Knowledge Representation in Neural Systems program, led by Francisco
Pereira (Siemens). The ultimate goal of the team is to build a
computational model of the process of language comprehension at the
sentence and/or text level, and validate it with behavioral and brain
imaging data. Target start date is as soon as possible.

RESPONSIBILITIES: Leading one or more components of the project,
including designing experiments, collecting and analyzing data (plus
overseeing data collection / analyses carried out by graduate students
/ lab tech working on this project), presenting the results at
conferences, and writing up the results for publication.

The interdisciplinary nature of the project means that we will be
carrying out experiments to inform the building of models of semantic
representation of words and sentences from text corpora and curated
resources. These will, in turn, be used to help design more
informative experiments or carry out other analyses. This presents a
unique opportunity for a postdoc to acquire new skills; for example,
if the postdoc has a cognitive neuroscience background s/he will be
expected to interact closely with the model developers in the team and
learn about and leverage the techniques that they use.

REQUIREMENTS: We are looking for individuals with a Ph.D. in
Neuroscience, Computer Science, Psychology, Cognitive Science, or
related fields. Strong quantitative skills are a must. Other desirable
knowledge / skills include: i) machine learning, ii) natural language
processing, and iii) collection, preprocessing and analysis of brain
imaging data (using SPM, FSL or AFNI).

SEND APPLICATIONS TO: Ev Fedorenko ([log in to unmask]). Applications
will be reviewed until the position is filled.

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