Tenure-track position in Data Journalism and Knowledge Discovery
Faculty of Arts and Science
Deadline: March 24, 2017
The Department of Journalism at Concordia University in Montreal, Quebec, invites applications for a full-time tenure track position at the rank of Assistant Professor in Data Journalism and Knowledge Discovery.
We are seeking a practitioner-teacher-scholar who combines new methods in journalism with contemporary approaches to reporting and storytelling. We are seeking to empower students with approaches to innovative data-extraction and visualization techniques that can be applied to the practice of journalism; the ideal candidate would be versed in the use of mobile, web, audio, visual, textual and social media platforms.
The ideal candidate will have strong professional journalism credentials, the ability to develop and teach digital journalism classes, competency in a range of digital journalism platforms and tools, be pursuing a research program in journalism studies that seeks scholarly or research-creation outputs, and be driven to be a leader in the field while contributing to the academic and administrative life of the Department.
The Department of Journalism has been at the forefront of training skilled journalists who think critically about the profession and society for 40 years. The faculty and staff are committed to serving the profession by training skilled, thinking journalists and by producing scholarship, criticism, and commentary on journalism. Our graduates are nationally recognized journalists striving to fight injustice in a world awash with misinformation. They are known for their intelligence and rigour. We offer four programs: a three-year undergraduate program, two one-year graduate diplomas, and upcoming two-year MA in Digital Innovation in Journalism Studies. Candidates are encouraged to visit our departmental website for additional information concerning our programs and priorities: http://journalism.concordia.ca
All applicants must possess strong professional and contemporary journalism credentials. The ideal candidate will provide evidence of a research program in journalism studies. Preference will be given to candidates with a graduate degree in a relevant field and those that can demonstrate evidence of teaching effectiveness.
The appointed candidate will be expected to teach at the undergraduate, diploma and MA levels, to engage in research or research-creation including active scholarly publication, and to contribute through service to the life and reputation of the Department, the University and wider community.
Applications should consist of the following items, in the given order, as a single PDF:
· a cover letter;
· a current curriculum vitae;
· a statement of research interests;
· a statement of teaching philosophy;
· samples of recent publications;
· evidence of teaching effectiveness (teaching evaluations; syllabi; samples of student work);
· Names and contact information of three referees. Candidates who are shortlisted will be asked to submit letters of reference and should alert referees of this potential need.
Applications, as a single PDF, should be sent to Ms. Sheelah O’Neill, Department Administrator at Sheelah.ONeill@concordia.ca with the subject heading Tenure-track application in Journalism by March 24, 2017.
Application materials should be addressed to:
Dr. David Secko, Chair
Department of Journalism, CJ 3.247
7141 Sherbrooke Street West
Montreal, Quebec H4B 1R6
Inquiries can be directed to Dr. David Secko at firstname.lastname@example.org.
All applications should reach the Department no later than March 24, 2017. Review of complete applications will begin immediately after this date and will continue until the position is filled. Subject to budgetary approval, the position will begin August 1, 2017 and will normally be at the Assistant Professor level.
All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents of Canada will be given priority. Concordia University is committed to employment equity.
Find an expert
Search for an expert to comment on any topic
Enter a phrase or keyword