Assistant Professor of Measurement and Statistics
Assistant Professor of Measurement and Statistics
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Salary Not Disclosed
1 Vacancy
Job Description
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 AIdriven 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 facetoface 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.
Work Environment
Inside
Employment Type
Full Time
