Postdoctoral Fellowship in Educational Measurement and Historical Thinking

Posted to IASSIST on: 2019-06-18

Employer: University of Alberta

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The Department of Elementary Education is inviting applications for a two-year postdoctoral position for the participation and administration of various large-scale survey design and analysis research projects designed to (a) identify teacher and student understandings of “historical thinking”, “Indigenous knowledge”, and “civic engagement”, (b) identify the cognitive processes associated with K-12 teachers’ and students’ historical thinking,(c) describe the cognitive dimensions underlying teachers’ and students’ historical thinking, and (d) identify teacher pedagogical and assessment practices in classrooms and schools.

Applicants will have an excellent academic record, a beginning record of conference presentations and/or scholarly publications, and a research program development plan that is aligned with the position. The postdoctoral fellow will work as a junior investigator on a SSHRC-funded national research project, assuming leadership responsibilities, administrating, coordinating, and completing corresponding research sub-projects, managing day-to-day research activities, training and mentoring research assistants and graduate students, and working closely and cooperatively with research staff. The successful applicant can undertake other related research responsibilities within the research mandate of the Department of Elementary Education and/or the Department of Educational Psychology. The successful candidate will participate fully in research and related scholarly activities and work with a team of researchers at the University of Alberta, a top five university in Canada.

The successful candidate will demonstrate knowledge and skill sets in:

  1. Measurement theory and application, specifically, item development, test design, sampling, classical test score theory, IRT, and working knowledge of standards in educational and psychological measurement
  2. Multivariate statistics, specifically factor analysis, structural equation modeling
  3. Large-scale survey analysis using SPSS, R, and MPlus
  4. Ability to work independently as well as collaboratively in all aspects of survey design and analysis, and in communication with content and subject-matter experts in the development of scale constructs and item design and revision
  5. Ability to conduct systematic literature reviews related to the research topic(s)
  6. Strong organizational, English-language writing, and interpersonal skills
  7. Fluency in French an asset (but not a requirement)

Archived on: 2020-01-07