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Joint Journalism and iSchool Associate/Assistant Professor

University of Maryland, College Park


Location:
College Park, Maryland 20742
Date:
08/31/2018
2018-08-312018-09-30
Job Code:
# 106057
Job Type:
Employee
Job Status:
Full Time
University of Maryland, College Park
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Job Details

The Philip Merrill College of Journalism and the College of Information Studies (Maryland’s iSchool) at the University of Maryland, College Park, invite applications for a tenure-track/tenured position in computational journalism at the assistant or associate professor level. This will be a joint position with the College of Journalism and the iSchool, with the tenure home in the College of Journalism. The successful candidate will teach in both colleges at the undergraduate and graduate level, and will have a research agenda of interest to both schools. The successful candidate will be expected to have an active research agenda and to seek external funding for research. In addition to teaching, the successful candidate will be expected to advise and mentor graduate students on doctoral dissertations, master’s projects and other scholarly initiatives. All tenured and tenure-track faculty at Maryland are expected to be active in service both inside and outside the university.

 

The successful candidate will have a passion for journalism and the watchdog role it should play in a democratic society. Research and teaching topics of interest to both schools include data analytics as applied to journalism and/or social media; fairness, accountability and transparency in algorithms; news automation; audience analytics and engagement, including those illuminating trends in politics, society or sports; data visualization; social networks; and/or digital innovation. The successful candidate will be expected to have a Ph.D. in computer science, information science, information systems, data management or computer engineering at the time of appointment. Candidates with PH.D.'s in other fields must have research experience in computational methods, such as experience working at a tech company or university computational information lab. 


Please apply at https://ejobs.umd.edu/postings/63082

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