Computational Research Specialist

Requisition # 2018-8463
Date Posted 2 weeks ago(2/8/2018 1:52 PM)
Department
Princeton Neuroscience Inst
Category
Research and Laboratory
Full-Time / Part-Time
Full-Time
Name of Lab
Wang Lab

Overview

This fall, partisan gerrymandering is before the Supreme Court. The Court’s decision will shape American politics for decades to come. Depending on the outcome, the coming years will see an uptick in either partisan gerrymandering litigation or state-level reform efforts. To address these new challenges, I am recruiting a Computational Research Analyst to join the Princeton Gerrymandering Project.

The Computational Research Analyst will do geography-intensive calculations to test our simple statistical standards, explore how such standards can be applied on a preventive basis to the redistricting process, and close loopholes in proposed reform efforts. Our work is likely to be deployed either in the courtroom or at the ballot box. This position is suitable for someone who is between college and graduate school. More experienced applicants are also welcome.

Responsibilities

  • Implement and improve upon computationally-intensive redistricting simulations.
  • Compile datasets on a state-by-state basis, combining census data, precinct-level results, and other information using GIS software.
  • Coordinate with reformers and/or litigants in several states.
  • Communicate clearly with political scientists, lawyers, and lay audiences.
  • Assist in the preparation of mainstream media content, professional reports, in-depth analysis, and possible peer-reviewed publications.

Qualifications

  • This position ideally requires a master’s degree in computer science, statistics, or physics. A bachelor's degree with 3+ years of experience will be considered in lieu of master's degree.  More experienced applicants are also welcome.
  • Strong quantitative and programming background.
  • A willingness to learn GIS software and other programs or tools necessary for the project.
  • Experience gathering and combining data from many disparate sources.
  • An interest in law, government, or democratic reform.
  • Ability to balance and work on several projects simultaneously and successfully.
  • Highly motivated and able to succeed in an academic research environment.
  • Background in high-performance computing (C, C++, or a comparable language) a plus

 

Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. EEO IS THE LAW

Salary Grade

AIT, 020

Standard Weekly Hours

36.25

Eligible for Overtime

No

Benefits Eligible

Yes

Essential Services Personnel (see policy for detail)

No

Physical Capacity Exam Required

No

Valid Driver's License Required

No

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