[Job-offers-cs] Interdisciplinary postdoctoral position in the Data and Democracy Lab @Cornell University
Pekka Orponen
pekka.orponen at aalto.fi
Sun Dec 1 14:52:28 EET 2024
*The Center for Data Science for Enterprise & Society*
*Interdisciplinary postdoctoral position in the Data and Democracy Lab*
*Cornell University*
The Data and Democracy Lab (née MGGG Redistricting Lab
<http://mggg.org/>) is a research group led by PI Moon Duchin in the
Department of Mathematics and Brooks School of Public Policy at Cornell.
Members of the lab engage in interdisciplinary research, drawing on
approaches from geometry, topology, graphs and networks,
probability/statistics, and algorithm design, in conversation with
geography, political science, policy, and law. The lab is deeply
engaged with civil rights and good-government work in representative
democracy.
We invite applications for full-time Data/Democracy postdoctoral
positions to begin in Fall 2025 (or Summer 2025 if desired).
*Applications should be completed by December 1, 2024 for full
consideration, and will continue to be reviewed until the positions have
been filled.* This is a one-year position, renewable to three years
pending successful review. There are no teaching requirements, but
teaching can be requested in mathematics, policy, or other fields
adjacent to data science. The minimum annual salary is $83,200. The
primary role of this postdoc will be to anchor multiple research
projects in electoral systems (such as ranked choice voting) and
sampling problems (such as graph partitions for redistricting) and to
launch new research in areas connected to the work of the lab. Members
of the lab publish in peer-reviewed journals in several disciplines.
Other important roles may include:
- mentorship of graduate students and undergraduate members of the lab,
- software development,
- interaction and collaboration with civil rights stakeholders,
- collaboration with legal scholars and litigators.
A successful applicant will likely have a background in more than zero
of the following mathematical areas: geometric group theory or another
flavor of discrete geometry, spectral graph theory, probability,
Bayesian statistics, mathematical data science (such as topological data
analysis), discrete Markov chains, MCMC or other applied modeling,
computational geometry, theoretical computer science, combinatorial
optimization, computational social choice, scientific computing, and
algorithmic fairness. Exposure to scholarship in humanities, social
science, or law is preferred, and curiosity in this direction is
essential. If you have background in all of these areas, you are an
unusual person indeed and we definitely want to meet you.
The application should include the following elements. (Note that these
expand on the requirements of the other Center for Data Science
postdoctoral positions.)
(1) a CV;
(2) a research statement;
(3) three letters of recommendation;
(4) a background statement of no more than two pages explaining your fit
for this position including the mathematical areas listed above. In
this statement, include the name of 1-2 additional possible mentors at
Cornell, such as in math <https://math.cornell.edu/faculty>, applied
math <https://www.cam.cornell.edu/cam/field-faculty-directory>, ORIE
<https://www.orie.cornell.edu/orie/faculty-directory>, CS
<https://www.cs.cornell.edu/people/faculty>, IS
<https://infosci.cornell.edu/people/faculty>, and public policy
<https://publicpolicy.cornell.edu/about-us/directory/?roles=full-time-faculty>;
(5) a brief comment, no more than one page, on any recent article from
the lab (link <https://mggg.org/research>).
Possible topics to address in the background statement include the
connection from your research statement to the work of the lab; your
planned career trajectory; your track record in broadening participation
in math or a related area; your experience with interdisciplinarity; etc.
APPLY ON AJO: academicjobsonline.org/ajo/jobs/29160
<https://academicjobsonline.org/ajo/jobs/29160>
Please contact mduchin at cornell.edu with any questions about these
positions or the application process.
The Center for Data Science for Enterprise & Society embraces diversity
and seeks candidates who can contribute to a welcoming climate for
students, staff and faculty of all races and genders. We strongly
encourage women and underrepresented minorities to apply.
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