<div dir="ltr"><br clear="all"><div><div class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div><div><div style="font-size:12.8px"><br></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div class="gmail_quote"><div dir="ltr"><p class="MsoNormal" style="margin-bottom:15pt;line-height:18.75pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-family:Helvetica;color:#4b4b4b">Title: Postdoctoral Position in Expanding
Machine Learning Beyond Social Prediction to Explanation & Intervention @
the <a href="https://www.knowledgelab.org/" target="_blank">Knowledge Lab</a>, <a href="https://www.uchicago.edu/" target="_blank">UChicago</a><u></u><u></u></span></p>

<p class="MsoNormal" style="margin-bottom:15pt;line-height:18.75pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-family:Helvetica;color:#4b4b4b">The Knowledge Lab at the University of Chicago
seeks to hire outstanding candidates for a postdoctoral research project with
support from DARPA to extend the limits of machine learning from the prediction
of social systems to explaining those systems and intervening in them. This is
in association with the “Ground Truth” program at DARPA. Other teams will
generate reasonable agent-based models of diverse social systems, and our task
is to build automated, analytical techniques that induce the "ground truth"
or structure of the model and program used to generate them. We will also
predict future instances of these social systems, and propose desirable and
pragmatic interventions in them. Our team, the "Social MIND (Machine
Inference for Novel Discovery)”, is exploring approaches that use large-scale
Bayesian inference, probabilistic programming, deep learning neural networks,
and approaches that link them together. We are recruiting for 1-2 postdoc
positions at the intersection of data science, machine learning, automated
scientific discovery, and social science.  <u></u><u></u></span></p>

<p class="MsoNormal" style="margin-bottom:15pt;line-height:18.75pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-family:Helvetica;color:#4b4b4b">Postdoctoral candidates will design and
conduct independent research, in close collaboration with UChicago professor,
Santa Fe Institute external faculty member, and Director of Knowledge Lab James
Evans, along with Joshua Tenenbaum, computational cognitive scientist from MIT,
and Michael Franklin, a computer scientist and leader in systems design at the
University of Chicago. Candidates must hold a PhD in Computer Science, or have
substantial computational and data science background and a Ph.D. in
Statistics, Applied Math, Physics, Sociology or another Social or Behavioral
Science, or a related field. Candidates should have a strong publishing record.
Experience in a social science discipline a strong plus. Comfort working
collaboratively with a team is essential.<u></u><u></u></span></p>

<p class="MsoNormal" style="margin-bottom:15pt;line-height:18.75pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-family:Helvetica;color:#4b4b4b">Specifically, successful candidates will be
responsible for generating and automatically decoding agent-models, and
applying these techniques to real social systems. Experience with some of the following
will be helpful: deep neural networks, Bayesian inference, probabilistic
programming, machine learning and machine understanding. Candidates will be
involved in both innovating new methods for specific inference tasks, and
assembling approaches into automated data analytic pipelines. The broader
project will also involve crowdsourcing alternative approaches, so experience
with crowdsourcing and intelligent model combination also a plus. Because we
will be requesting social data from the agent-modeling teams, understanding
social science data gathering methods and familiarity with game theoretic and
agent-based models will be very helpful.  <u></u><u></u></span></p>

<p class="MsoNormal" style="margin-bottom:15pt;line-height:18.75pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-family:Helvetica;color:#4b4b4b">To apply, please send CV, cover letter and
names for letters from at least two references to Candice Lewis, <a href="mailto:cllewis@uchicago.edu" target="_blank">cllewis@uchicago.edu</a>.<span class="HOEnZb"><font color="#888888"><u></u><u></u></font></span></span></p><span class="HOEnZb"><font color="#888888">

<p class="MsoNormal" style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-family:"Helvetica Neue";color:#4b4b4b"><u></u></span></p><div style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:small;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial"><div><div><div style="font-size:12.8px"><font face="tahoma, sans-serif" size="2">Candice Lewis, Ph.D.</font></div><font face="tahoma, sans-serif" size="2">Assistant Director<br><a href="https://www.knowledgelab.org/" target="_blank" style="color:rgb(17,85,204)">The Knowledge Lab</a><br>University of Chicago<br>5735 S Ellis Ave| Room 221<br>Chicago, IL 60637</font><br></div></div><div><font face="tahoma, sans-serif"><br></font></div><div><font face="tahoma, sans-serif"><br></font></div></div><br class="gmail-Apple-interchange-newline"> <u></u></font></span><p></p><font color="#888888">

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