Assistant Professor of Measurement and Statistics at Department of Information, Library, and Research Sciences in Greensboro, North Carolina

Job Description:

Position Summary:

This position involves research, teaching, student advising and mentoring, and service responsibilities for the undergraduate Bachelor of Science in Information Science and the Masters and Doctoral programs in Research, Measurement, and Evaluation. This position will engage in teaching and scholarship within the broad area of quantitative methodology and the intersection of quantitative methodology with emerging generative and/or analytic applications such as artificial intelligence (AI), large language models, machine learning, big data mining, or other emerging techniques.

Expertise in quantitative methodology with a focus in either educational statistics or educational measurement is required. Strong preference is given for candidates with additional expertise in one or more emerging areas of data analytics and/or information generation, such as the application of AI to research and/or evaluation, AI-driven assessment, machine learning, big data mining, data visualization, or the integration of emerging areas to enhance culturally responsible assessment and evaluation. Experience with R, python or Matlab is desirable. Online teaching experience is desirable.

Responsibilities:
Engage in a robust research agenda that furthers the program and the field.
Seek and obtain external funding.
Participate in instruction, advising, service and scholarly activities.
Teach primarily face-to-face in the graduate and undergraduate programs. Some online teaching at the graduate level may also be required.
Mentor and advise graduate students.
Provide service to the department, school, university, profession, and community.

Minimum Qualifications:

• This position requires an earned doctorate in Quantitative Methodology, Educational Statistics, Educational Measurement, Educational Research Methodology, or a related discipline by start date of employment.
• Consideration will be given to candidates who have not yet earned their doctorate at the time of application, but who anticipate earning their doctorate in the near future.

Special Instructions to Applicants:

All applicants must complete an online application to include:

• A letter of application, including statements that articulate the candidates teaching philosophy, research agenda, and service and community engagement philosophies and mission.
• Current vitae
• List of three references (including name, phone number, and email)

Applications will begin being reviewed on November 20, 2024, and will continue to be reviewed until the position is filled.

More Information

For further information or questions about this position, please contact:

Dr. Kyung Yong Kim

Search Committee Chair

K_kim9@uncg.edu

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