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A Defense Advanced Research Projects Agency (DARPA) funded project "Big
Mechanism" at the University of Chicago, invites applications for a
Postdoctoral Scholar position. The Postdoc will work with James Evans
<> and Andrey Rzhetsky
<> and will be
associated with Knowledge Lab ( at the University of
Chicago, one of the world’s leading research universities. The position
will be for 3 years, contingent on annual reappointment.

The overall project develops technologies that allow for the automated
integration of new research findings into explanatory (network) models of
large, highly complex systems piloted on cancer biology, as well as
automated hypothesis generation, experimentation by robot scientists, and
knowledge validation and extension over these systems (e.g., cancer
biology). The specific focus of this position will involve some combination
of the following three tasks: (1) development of novel metrics that capture
confidence in and credibility of new findings (automatically extracted from
publications, grants, and patents by other researchers involved in the
broader project), (2) integration of these weighted findings into a
probabilistic knowledge graph of cancer mechanisms and pathways, and (3)
development of algorithms that efficiently search through the space of
possible experiments to propose new ones that optimize scientific and
medical advance. These proposed hypotheses will be subsequently tested by
experimental robots and expert researchers.

See *Metaknowledge* <>
 and *Machine Science* <>.

We particularly value specific skills in networks, complex systems, machine
learning, text-mining, and graphical models. Please note that applicants
need not have all of these skills to apply, though some combination and
familiarity is preferred.

Minimum qualifications for this position are a PhD or expected PhD in
computer science, informatics, applied mathematics, or demonstrably related
disciplines (e.g., physics, computational biology, computational social
science, etc.) Strong preference will be given to candidates with
experience with some combination of networks, complex systems, and machine
learning. Strong computational skills; and a record of successful teamwork
and collaboration are required. In addition, an open mind and a record of
successful teamwork and the ability to communicate and collaborate across
disciplinary lines are preferred. Women and members of underrepresented
groups are strongly encouraged to apply.

Interested candidates must submit to *[log in to unmask]
<[log in to unmask]>*: 1) cover letter, describing your interest
in and qualifications for pursuing interdisciplinary research in general
and metaknowledge research in particular; 2) curriculum vitae (including
publications list); 3) description of your computational skill and
experience and a broad career trajectory (max. 2 pages), discussing how
those skills will support work on this project; 4) contact information for
three or more scholars who know your work and are willing to write letters
of reference; 5) one or more examples of working software you have written
(e.g., GitHub).

Compensation includes a competitive salary and benefits plan.

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