Assistant Professor, 9 month Salaried (Job ID: 58823)
About the role
The School of Information (iSchool) at Florida State University seeks to fill two (2) nine-month tenure-track faculty positions at the Assistant Professor level. Review of applications will begin on November 1, 2024, and continue until the positions are filled.
Responsibilities
- Interdisciplinary, sociotechnical systems research interests
- Teach in the general areas of Artificial Intelligence (AI), cybersecurity, and/or data science
- Strong technical and analytic skills, including expertise in AI, cloud computing, programming (Java, Python, etc.), digital libraries, mobile/web app development, and data analytics
- Articulate a research agenda that fits within the broader research interests of the School and demonstrate the ability to work effectively within a highly interdisciplinary environment and actively seek external funding
- Teach at all levels, including courses in the school’s bachelor’s, master’s, and doctoral degree programs
- Experience teaching online, as well as face-to-face
- Teach two courses per semester each academic year
- Advise students, serve on School, College, and University committees, and be active in professional and academic organizations
Requirements
- A Ph.D. or equivalent doctorate in information science, information science, information technology, or a cognate field
Qualifications
We are seeking faculty colleagues with interdisciplinary, sociotechnical systems research interests and the ability to teach in the general areas of Artificial Intelligence (AI), cybersecurity, and/or data science. Additionally, candidates should have strong technical and analytic skills, such as expertise in AI, cloud computing, programming (Java, Python, etc.), digital libraries, mobile/web app development, and data analytics. Candidates should also be able to articulate a research agenda that fits within the broader research interests of the School and demonstrate the ability to work effectively within a highly interdisciplinary environment and actively seek external funding.
Skills
Candidates should have strong technical and analytic skills, such as expertise in AI, cloud computing, programming (Java, Python, etc.), digital libraries, mobile/web app development, and data analytics. Candidates should also be able to articulate a research agenda that fits within the broader research interests of the School and demonstrate the ability to work effectively within a highly interdisciplinary environment and actively seek external funding.
Benefits
Faculty typically teach two courses per semester each academic year.
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