Assistant Professor, 9 month Salaried Job ID 53069

Florida State University

Assistant Professor, 9 month Salaried Job ID 53069

  • Institution: Florida State University
  • Institution Type: Four-Year/Advanced Degree (B.A., M.A., Ph.D.)
  • Location: Tallahassee, FL US
  • Website: ischool.cci.fsu.edu
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Assistant Professor, 9 month Salaried Job ID 53069

  • Florida State University | Tallahassee, FL US
  • Hourglass IconJob Post Expiration: November 04, 2022
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Job TitleAssistant Professor, 9 month Salaried Job ID 53069

Position TypeFull Time

Job Category Faculty

Salary Range -

Location Tallahassee, FL US

Application Deadline November 15, 2022

Contact Information

Contact Name LaToya Brown

Department School of Information

Email lbrown5@fsu.edu

Phone US +1 (850) 644-8807

Job Description

To apply for this job please visit jobs.fsu.edu.

The School of Information (iSchool) at Florida State University seeks to fill one (1) nine-month tenure-track faculty position in Information, at the Assistant Professor level.

Responsibilities 

We are seeking faculty colleagues with interdisciplinary, sociotechnical systems research interests. Candidates should be able to articulate a research agenda that fits within the broader research interests of the iSchool and demonstrate the ability to work effectively within a highly interdisciplinary environment. Portfolios of research and teaching could include human-computer interaction, cybersecurity, human-centered computing, user experience (UX), data management, data science, social, and cultural informatics.

Successful applicants will be expected to teach at all levels, including courses in the school’s bachelor’s, master’s, and doctoral degree programs; experience with teaching online, as well as face-to-face, is preferred. Faculty typically teach 2 courses per semester (fall and spring) each academic year. All faculty members are expected to advise students and to serve on School, College, and University committees.

Qualifications

Qualified applicants will have a Ph.D. or equivalent doctorate in information science, information technology, computer science, or another relevant discipline.

How to Apply 

Applicants are required to complete the online application with all applicable information. The following items should be submitted as part of the application:

A cover letter
A curriculum vitae
A research statement including interests, plans, and approach to securing external funding
A teaching statement including plans and philosophy
A statement on diversity and inclusion plans and experiences
Up to three selected publications or preprints for review
The names and contact information of three potential references
Note: transcripts and up to three written letters of recommendation will be required of candidates selected for an interview
Review of applications will begin November 15, 2022 and continue until the position is filled.

Preferred starting date is Fall 2023.

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