Lecturer

University of MarylandCollege Park, MD
19h$85,000 - $101,000

About The Position

The Department of Economics at the University of Maryland, College Park, invites applications for a full-time Lecturer position beginning August 23, 2026. This is a full-time, nine-month (academic year) appointment with an initial one-year contract and the possibility of renewal for three- to five-year terms. The teaching load will be a maximum of three courses per semester. Approximately 90% of the Lecturer’s responsibilities will involve teaching undergraduate courses, with the remaining effort devoted to service activities. The position will be dedicated to teaching within both the Department of Economics and the interdisciplinary Social Data Science major. The ideal candidate will have a strong background in research methods and proficiency in programming languages such as R and Python. Social Data Science courses taught by this lecturer may include “Python Programming for Data Science,” “Data Science for Social Science,” or similar courses. Economics courses may include introductory courses such as “Principles of Microeconomics/Macroeconomics” or “Applied Economic Statistics,” as well as data-oriented courses such as “The Economics of Big Data,” “Using Big Data to Solve Social and Economic Problems,” or similar data-oriented courses developed by the instructor. Salary is competitive, and there may be opportunities for additional compensation for teaching in winter and summer sessions. All questions about this position may be addressed to Dr. Erin Moody ([email protected]), Director of Undergraduate Studies in Economics or Dr. Brian Kim ([email protected]), Director of the Undergraduate Major in Social Data Science.

Requirements

  • ABD (Ph.D. preferred) in Economics, Data Science, Information Science, or a closely related field
  • Evidence of excellence in teaching, especially in undergraduate education

Nice To Haves

  • Ph.D. preferred in Economics, Data Science, Information Science, or a closely related field
  • Demonstrated the knowledge, skills, and experience needed to be effective teachers for our student population with its wide range of backgrounds and experiences, in alignment with the mission of our university
  • Strong background in research methods
  • Proficiency in programming languages such as R and Python

Responsibilities

  • Teaching undergraduate courses (approximately 90% of responsibilities)
  • Service activities (remaining effort)
  • Teaching within the Department of Economics and the interdisciplinary Social Data Science major
  • Teaching a maximum of three courses per semester
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