TWO POSTDOC POSITIONS AVAILABLE FOR 2017-2018

These postdoc positions focus on how an Embodied Conversational Agent
(virtual human) can interact using social language and social nonverbal
behaviors, as well as task language and nonverbal behaviors.  The main
topics of the postdocs are analyzing human-human interaction using hand
annotation, online crowdsourcing, and machine learning algorithms, in
order to understand how humans use language and nonverbal behavior in
social ways, and (b) based on the results of the annotation implementing
dialogue modules, using machine learning approaches, that understand the
user's behavior, and generate appropriate social responses in an
Embodied Conversational Agent.

The ideal candidates will have complementary backgrounds to one another,
in some combination of AI, natural language generation, multi-user
architectures, dialogue systems, and machine learning.  Experience
implementing or working with architectures that handle planning and
generation of nonverbal as well as verbal behaviors is
preferred. Experience using state-of-the-art approaches to dialogue
management, such as deep learning, is a definite plus. The ideal
candidates should also be good team players who work well in an exciting
and fast-paced multidisciplinary environment.

Skills : Artificial Intelligence, Dialogue Systems, Embodied
Conversational Agents, Deep/Machine Learning

Position : post-doctoral (potentially 2 post-docs are available with the
same description)

Duration : 1 year 

Host Organization : ISIR, Pierre and Marie Curie University, Paris where
Justine Cassell will be visiting starting October 15 2017, and
continuing through summer 2018.

Documents to send : CV, cover letter, names and contact information of 3
people willing to write a letter of recommendation

Send documents to : Justine Cassell (justine@cs.cmu.edu), Catherine
Pelachaud (catherine.pelachaud@upmc.fr), and Mohamed Chetouani
(mohamed.chetouani@upmc.fr)