JOE Listings (Job Openings for Economists)

February 1, 2024 - July 31, 2024

Columbia University

This listing is inactive.
Arts and Sciences
Department of Political Science
Lecturer in Discipline at Columbia University

JOE ID Number: 2024-01_111473728
Date Posted: 02/23/2024
Date Inactive: 05/13/2024
Position Title/Short Description
Title: Lecturer in Discipline at Columbia University
Section: US: Full-Time Academic (Permanent, Tenure Track or Tenured)
Location: New York, New York, UNITED STATES
JEL Classification: C0 -- General
Keywords:
Faculty
Quantitative Methods
Lecturer
Ph.D
Graduate Teaching
Research Methods
Salary Range: $85,000-$95,000

Status Update: Search Closed
Full Text of JOE Listing:

All applications must be submitted through Columbia University’s Recruitment system. Please use this link to apply: https://apply.interfolio.com/137575

Columbia University's Quantitative Methods in the Social Sciences MA program and the Department of Political Science invite applications for a position at the rank of Lecturer to begin on July 1, 2024. The Lecturer will teach a number of graduate-level research methods and data science courses and be appointed by the academic department in the Faculty of Arts and Sciences. Thesis advising and leading lab sessions are also expected. This is a full-time position with the possibility of multi-year renewal contingent upon successful review. A Ph.D. in a social science discipline (or broadly related field) at the time of appointment is required, preferably with a specialization in applied statistics, data science methods, and coding in multiple statistical software languages. Demonstrated ability in teaching at the undergraduate or graduate level required.

Qualifications

Minimum Degree Required: Ph.D.

Minimum Qualifications: Demonstrated excellence as scholars and teachers. The successful candidate will have a deep commitment to graduate training and teaching, along with excellent judgment and strong interpersonal skills.

Preferred Qualifications: Specialization in applied statistics, data science, machine learning, text analysis, and familiarity coding in R and/or Python.

Application Requirements:
  • External Application Link
Application deadline: 05/13/2024