Lecturer in Data and Computational Journalism

Posting Details

Position Number: 1P0000

Title: Lecturer

Functional Title: Lecturer - Data and Computational Journalism

Category Status: 03-Faculty-Non-Tenured,Term Contr

Applicant Search Category: Faculty

University Authorized FTE: 1.0

Unit: JOUR-Philip Merrill College of Journalism

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.

Founded in 1947, the Philip Merrill College of Journalism has approximately 600 undergraduate and graduate students and approximately 60 faculty and staff. Merrill is located just 10 miles from the White House and was chosen as one of 12 top journalism schools that took part in the prestigious Carnegie-Knight Initiative. Over the past year, student investigative journalists from Merrill College won six major national professional awards for their innovative use of data storytelling tools and collaborating with student and professional newsrooms across the country.

Position Summary/Purpose of Position:

The University of Maryland, Philip Merrill College of Journalism seeks a data journalist to teach courses and work with students on reporting projects.

Do you like working collaboratively? Do you enjoy using data to help inform groundbreaking projects? Do you get excited exploring new forms of storytelling? Are you eager to mentor the next generation of investigative journalists?

If so, read on.

The successful candidate must be able to teach data or computational journalism courses in person and online to both undergraduate and graduate students. They must also be able to work collaboratively with students, faculty and visiting journalists on national and regional projects managed by the Capital News Service and the Howard Center for Investigative Journalism. Experience with big data analysis is a plus.

In addition to data and computational journalism, the ideal candidate will have experience working in one or more of the following areas: data analysis, data visualization, programming, web development, web design or statistics.

In the last several years, students and faculty have worked collaboratively on innovative, data-intensive projects that have won numerous professional awards, including Code Red, Growing Up Behind Bars and Nowhere to Go. They have partnered with National Public Radio, The Associated Press, USA Today, and other professional news organizations.

This is a professional track position and does not include tenure.

Minimum Qualifications:

Bachelor’s degree required. Real world experience, preferably in a newsroom, executing data or computational journalism projects is expected.

Preferences:

Masters degree. University-level teaching experience and mentoring experience is a plus.

The University of Maryland is especially interested in attracting candidates from underrepresented minority groups, particularly those with demonstrated commitment to enhancing diversity and inclusion.

Additional Information:

Supplemental materials to include in application: three links to innovative data-related projects you have worked on in the past three years.

Posting Date: 12/11/2020

Open Until Filled Yes

Best Consideration Date 02/05/2021

Diversity Statement:

The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions.

Applicant Documents

Required Documents

• Cover Letter
• List of References (no emails sent from system)
• Supplemental Document 1
• Curriculum Vitae
• Optional Documents

Posting Specific Questions

Required fields are indicated with an asterisk (*).

*How did you hear about this position?
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