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Assistant Professor of Data Science, University of Arizona, Tuscon, AZ

Posted January 15, 2016

Title: Assistant Professor, Data Science, (TE)

Department: School of Information (0481)

Position Summary: The University of Arizona and the School of Information seeks a tenure-track Assistant Professor with a strong record of research in data science or computational social science to begin in mid August, 2016. Preference will be given to applicants with a research record focused on health information, eHealth, health networks, environmental science, astronomy, or scholarly work on business behavior and eCommerce. It is expected that a successful applicant will have familiarity and experience with the computationally intensive methods that are used in modern data science, including, for example: data mining, information retrieval, natural language processing, predictive analytics, machine learning, visualization, and high-performance computing. This position will include teaching responsibilities in data science or data enabled science at both undergraduate and graduate levels. The successful applicant will have ideally developed a strong track record of good teaching and academic citizenry. Experience with interdisciplinary/multidisciplinary/transdisciplinary funded grant teams is desired.

The School of Information is an academic department and a professional school in the College of Social and Behavioral Sciences at the University of Arizona, Arizona’s only public land grant university. The School of Information aims to inspire interdisciplinary understanding, diverse interpretation, creation, and use of the emerging knowledge and information environments of the 21st century through innovative instruction and state-of-the-art technology. The School is a place for the interdisciplinary study of information, broadly conceived, and is focused on preparing students for living, thinking, and working in the digital age. The School of Information offers six degree programs and four graduate certificates. They are: PhD in Information, MS in Information, MA in Library and Information Science, a BA in Information Science and eSociety, a BS in Information Science and Technology and a BA in Information Science and Arts.

At the University of Arizona and in the School of Information, we value our inclusive climate because we know that diversity in experiences and perspectives is vital to advancing innovation, critical thinking, solving complex problems, and creating an inclusive academic community. We translate these values into action by seeking individuals who have experience and expertise working with diverse students, colleagues and constituencies. Because we seek a workforce with diverse perspectives and experiences, we encourage minorities, women, veterans, and individuals with disabilities to apply. As an Employer of National Service, we also welcome alumni of AmeriCorps, Peace Corps, and other national service programs.

Outstanding UA benefits include health, dental, and vision insurance plans; life insurance and disability programs; UA/ASU/NAU tuition reduction for the employee and qualified family members; state and optional retirement plans; access to UA recreation and cultural activities; and more!

The University of Arizona has been recognized on Forbes 2015 list of America’s Best Employers in the United States and has been awarded the 2015 Work-Life Seal of Distinction by the Alliance for Work-Life Progress! For more information about working at the University of Arizona, please click here.

Accepting a new position is a big life step. We want potential candidates and their families to be able to make informed decisions. Candidates who are considering relocation to the Tucson or Phoenix area, and have been offered an on-site interview, are encouraged to use the free services offered by Above & Beyond Relocation Services (ABRS).Ask your department contact to be introduced to ABRS prior to your visit.

Duties & Responsibilities: This position will include teaching responsibilities in data science or data enabled science at both undergraduate and graduate levels.

Minimum Qualifications: 

  • Earned PhD. or commensurate degree in Computer Science, Information Science, Mathematics or relevant field.
  • Demonstrated research and publication record or potential.
  • Demonstrated technology expertise.
  • Documented evidence of teaching ability.

Preferred Qualifications:

  • Preference will be given to applicants with a research record focused on health information, eHealth, health networks, environmental science, astronomy, or scholarly work on business behavior and eCommerce.

Posting Number: F20353

Open Date: 12/22/2015

Review Begins On: 02/09/2016

Apply Online: https://uacareers.com/postings/7832

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