Lecturer Criminology

Position Number: 1P0000
Title: Lecturer
Functional Title: Lecturer
Category Status: 03-Faculty-Non-Tenured,Term Contr
Applicant Search Category: Faculty
University Authorized FTE: 1
Unit: BSOS-Criminology & Criminal Justice
Hiring Range Minimum:
Hiring Range Maximum:
Campus/College Information:
Founded in 1856, University of Maryland, College Park is the state’s flagship institution. Our 1,250-acre College Park campus is just minutes away from Washington, D.C., and the nexus of the nation’s legislative, executive, and judicial centers of power. This unique proximity to business and technology leaders, federal departments and agencies, and a myriad of research entities, embassies, think tanks, cultural centers, and non-profit organizations is simply unparalleled. Synergistic opportunities for our faculty and students abound and are virtually limitless in the nation’s capital and surrounding areas. The University is committed to attracting and retaining outstanding and diverse faculty and staff that will enhance our stature of preeminence in our three missions of teaching, scholarship, and full engagement in our community, the state of Maryland, and in the world.
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Position Summary/Purpose of Position:
The Department of Criminology and Criminal Justice at the University of Maryland invites applications for a full-time lecturer to begin August 23, 2024. Payroll start date of July 30, 2024. This is a 1.0 FTE, 9-month position with an initial one-year contract and the possibility of 3-5 year renewal contracts. Approximately 90% percent of the lecturer’s commitment will be teaching undergraduate courses, with the remaining effort dedicated to service activities.

The position will be dedicated to teaching primarily within the newly launched, interdisciplinary Social Data Science major. The ideal candidate will have a strong background in research methods, quantitative methodology, proficiency in programming languages such as R and Python, as well as a passion for advancing research integrity and open science. Familiarity with social network analysis, survey methodology, or advanced analytic techniques such as machine learning, or natural language processing, is desirable but not required.

Minimum Qualifications:
Education:
M.A. in Criminology and/or Criminal Justice, Data Science, Information Science, or a closely related field.

Experience:
A strong, demonstrated investment in multimodal learning.
Commitment to undergraduate education as well as evidence of excellence in teaching diverse groups of students.
Preferences:
Preferences:
A Ph.D. in Criminology & Criminal Justice.
Additional Certifications:
Additional Information:

Open Until Filled Yes