Connectionists: Postdoctoral Fellow in Computational Behavior Analysis

[Birkan Tunc]

We are seeking postdoctoral fellow applicants with interest and experience
in computational approaches and machine learning for use in quantitative
measurement of human behavior. This research is conducted at the Center for
Autism Research (CAR) in Children’s Hospital of Philadelphia (CHOP) and at
University of Pennsylvania (UPenn), as a part of an NIH grant. The fellow
will be part of a big multidisciplinary team that develops computer vision
and machine learning tools to quantify children’s and adults’ behavior in
the context of a social interaction/conversation.

Computational behavior analysis is an emerging and exciting domain within
psychiatric research, harnessing the power of computer vision, machine
learning, and mathematical modeling to better capture and quantify all
observable human behavior. Developments in this domain have the potential
to rapidly advance our understanding of human behavior, thereby also
facilitating an extremely fruitful and rewarding career path for young
computational scientists.

CAR provides a unique environment for talented postdoctoral fellows to
study the human mind and behavior, with collaborations between engineers,
computational scientists, hardware developers, psychologists and
psychiatrists. We offer expertise in computational analysis of human
behavior, with specific expertise in developmental or psychiatric
disorders. A key goal of the center is to develop tools to quantify human
behavior and interactions from video and audio recordings, using
state-of-the-art computer vision and machine learning techniques.

The fellow will be responsible for:

• Developing computer vision techniques (e.g., face analysis, body movement
analysis, gesture analysis)

• Validating developed tools using in-house clinical data, as well as
publicly available datasets

• Performing pattern recognition on collected data (i.e., classification,
regression, clustering, feature learning)

The ideal applicant will have prior experience in statistical and
quantitative methods, as well as an appetite to learn. Salary is very
competitive and will be commensurate with background and experience. Please
apply at https://form.jotform.com/203023641732141 . More information about
our related projects can be found at http://www.birkantunc.com

Job Requirements

• PhD in computer science, electronic engineering or a related field

• Research experience in computer vision and machine learning

• Proficiency in Python and/or MATLAB; C++ is a plus

• Strong self-motivation, strong problem-solving skills, and ability to
generate novel ideas

Desired

• Ability to make a 2 year commitment

• Publications in top computer vision and machine learning conferences and
journals
• Research experience in quantifying human behavior (e.g., affective
computing)
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