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Assistant/Associate/Full Professor of Technology, Digital Economies, and Privacy

Northeastern University

Economics


Northeastern University

The College of Social Sciences and Humanities and its nine tenure units are the home of the Experiential Liberal Arts. Through its research, teaching, and engagement missions, the college collaborates across the university, the Northeastern network, and partners around the globe. We are strongly committed to fostering excellence through diversity and enthusiastically welcome nominations and applications from members of groups underrepresented in academia. Successful faculty in the College of Social Sciences and Humanities will be dynamic and innovative scholars with a record of research and teaching excellence and a commitment to improved equity, diversity, and inclusion. Strong candidates for this position will have the expertise, knowledge, and skills to build their research, pedagogy, and curriculum in ways that reflect and enhance this commitment.

Responsibilities:

CSSH invites applications for one or more tenure-track or tenured appointments at the rank of Assistant, Associate, or Full Professor to contribute to and expand research and teaching in the field of computational social science with an emphasis on issues related to digital economies, AI/machine learning, and/or privacy. The ideal candidate will apply tools from econometrics and data science to big and unstructured data in order to address social and economic problems relating to and resulting from the emergence and regulation of new technologies. We are particularly interested in candidates whose work relates to the application of new technologies such as automation/AI and machine learning and has implications for “gig” economies, digital platforms/marketplaces, the future of work, data ethics, information privacy, or the future of monetary policy. Successful candidates will have a track record (or a very high potential) for successfully pursuing interdisciplinary and grant-funded research. They will also have a commitment to teaching both undergraduate and graduate students the techniques needed to manage, analyze, and make decisions with large and unstructured data. This position presents an opportunity to work across colleges in an interdisciplinary consortium of faculty across the social sciences, engineering, computer science, media and information, and business. A secondary appointment in a different college is encouraged, depending on the candidate’s discipline and research focus.

Faculty members at Northeastern are expected to develop independent research programs that attract external funding; teach courses at the graduate and undergraduate level; supervise students and postdocs in their area of research; and participate in service to the department, university, and discipline. Candidates interested in conducting high-impact research programs and teaching excellence in the broad areas above are encouraged to apply.

Qualifications:

Candidates must hold a Ph.D. in a social science discipline, data science, or a closely related field by the appointment start date. Candidates must have a background in or commitment to working with diverse student populations and/or in culturally diverse work and educational environments.

Documents to Submit:

Applicants will be asked to indicate their primary discipline or field on the online application form. Applications should include a cover letter that addresses the applicant’s interest in and qualifications for the position, curriculum vitae, evidence of teaching effectiveness, research statement, writing sample, diversity statement, and contact information for at least three letters of recommendation.

In the diversity statement, please describe how you can support Northeastern’s commitment to diversity, equity, inclusion, and belonging. Describe how your teaching, service, research, and/or leadership (as applicable) has supported the success of students and/or colleagues; and/or describe the impact others have had on you as relating to diversity, equity and inclusion.

To apply, please go to http://www.northeastern.edu/cssh/faculty-p and click on the link for full-time positions or full-time interdisciplinary positions or if viewing this description on the Northeastern University website, click “Apply to this job.” Please address nominations and inquiries about the position to Professor Jun Ma, Chair of the Search Committ


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