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Professor of Practice (Data Science)

Syracuse University, School of Information Studies

Job Title: Professor of Practice (Data Science)
Job Location: Syracuse , NY
United States
Status: Full-Time
Job Category: Sciences and technology: other
Business: other
Computer Science/Info Tech/Systems
Application Closing Date: Open Until Filled
Date Posted: 2017-10-11
Industry: Academic/Education

Job Description





Professor of Practice (Data Science)
Syracuse University

Syracuse University's School of Information Studies (The iSchool, see http://ischool.syr.edu) is soliciting applications from professionals in data science to join its renowned and interdisciplinary faculty. This position is open to professionals who can serve as a Professor of Practice. The successful candidate will join our “Faculty of One” in a highly collegial environment that stresses collaboration.

Located at the center of picturesque Syracuse University, the iSchool is at the cutting edge of scholarship and instruction. The iSchool has eight degree programs and an enrollment of 36 doctoral students, 570 masters' students and 730 undergraduates, led by 47 full-time faculty and 100 part-time faculty. Our faculty have recognized strengths in information retrieval, information management, library programs and services, natural language processing, computational social science, online communities and civic participation, new forms of organization and collaboration, information and communications policy, smart energy systems, digital literacy, information and network security, globalization, entrepreneurship, social media, and data science.

Job Requirements

We seek colleagues who can provide a strong contribution to teaching data science and who can also deepen and extend our strengths in information management.

We see data science as a broad area that includes data analytics, visualization, and data management. Data scientists are crucial to solving big data problems in areas as diverse as clinical research, defense intelligence, customer behavior, medical diagnosis, and risk management.

The iSchool currently offers an MS in Applied Data Science, an MS in Enterprise Data Systems, Certificate of Advanced Study in Data Science, and minor in data analytics.


Information and Application Process Instructions

Applicants must submit a cover letter outlining their interests and qualifications, a current resume, a statement describing teaching interests and accomplishments, and names and contact information of at least three references to: www.sujobopps.com. JOB #073476.

Strong candidates will be contacted for letters of reference and asked to provide a teaching portfolio or other evidence of their ability to teach in data science. Please do not submit these items with the initial application.

We strongly encourage women and underrepresented minorities to apply. We are interested in candidates who have the communication skills and cross-cultural abilities to maximize their effectiveness with diverse groups of students, colleagues and community members.

We will begin screening applicants in November, 2017 and continue accepting applications until the position is filled. For full consideration, materials should be received by November 15, 2017. Direct questions to Dr. Bruce Kingma, search chair, brkingma@syr.edu.

Syracuse University is an Affirmative Action/Equal Opportunity Employer

Apply Here

When inquiring or applying for this job opening, please also reference AcademicCareers.com

Applicants with dual-career considerations can find university jobs such as professor jobs, dean jobs, chair / department head jobs, and other faculty jobs and employment opportunities at Syracuse University and at other institutions of higher education in the region on www.AcademicCareers.com

 

 

PI99779691

To obtain more information or to submit your resume you can contact Chair of the Search Committee as shown below. If you apply for this position, please say you saw it first on www.AcademicCareers.com. Thank you.

Chair of the Search Committee
Please Apply as Included Above


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