Texas Tech University College of Education and Institute for Measurement, Methodology, Analysis and Policy (IMMAP; see immap.educ.ttu.edu) are inviting applications for post-doctoral fellows in a multi-year program devoted to Measurement, Methodology, Analysis and Policy. IMMAP is a methodological think tank that focuses on solving research problems with innovations in research design, assessment methods, and data analytics. Awarded fellows work closely with the IMMAP director, Todd D. Little, and one or more IMMAP faculty collaborators who are matched on the basis of interests in methodology and data analysis.
These prestigious IMMAP fellowships involve collaborating on various IMMAP projects that are focused on effectiveness evaluations, policy issues, social and education initiatives, and other projects encompassing the educational, behavioral, biological, and social sciences. IMMAP Fellows have unique growth opportunities because of the Institute’s omnidisciplinary approach to research and data analysis. Students and faculty from diverse departments and backgrounds work together, creating rigorous solutions to answer important questions in variety of fields that impact policy both locally and globally.
The goal of the postdoctoral research program is to prepare fellows to assume research and leadership positions in disciplines that bridge science and policy. To this end, the enriched training experience equips fellows with a) well-defined statistical and methodological skills necessary to conduct meaningful research projects (e.g., randomized trials, longitudinal studies); b) knowledge and competence to develop, implement, and evaluate intervention programs and services for diverse populations; c) skills to submit competitive grant applications; and d) expertise in writing for publication and presenting at professional conferences. IMMAP fellows are also active as students and educators in the internationally renowned “stats camp” that is sponsored by IMMAP (see statscamp.org).
Qualifications: Applicants should have a doctoral degree in education, psychology, statistics, mathematics, or related area. Additionally, applicants must possess advanced quantitative skills, preferably including advanced latent variable modeling (e.g., longitudinal structural equation modeling, mixture modeling, latent class analysis), Bayesian, and advanced capabilities in either R or Mplus (preference will be given to those who are proficient in both R and Mplus). Assistant professors as well as recent doctoral graduates are encouraged to apply. Review of applications will begin immediately and continue until the positions are filled. For more information, contact Dr. Eugene Wang (firstname.lastname@example.org). Start dates are flexible, beginning as early as September, 2014.
Salary range is $45,000 to $55,000 and is based on experience. Exemplary performance qualifies for salary increases each year and ample funds are available for supplies, travel, and related research needs.
Click the link provided for complete details on how to apply to this position: www.texastech.edu/careers/
Click the link provided to view the complete job description: Requisition ID# 909BR.
Texas Tech University is an Affirmative Action/Equal Opportunity Employer. We strongly encourage applications from women, minorities, persons with disabilities, veterans, and we consider the needs of dual-career couples. As an Affirmative Action/Equal Opportunity Employer, Texas Tech University is dedicated to the goal of building a culturally diverse faculty committed to teaching and working in a multicultural environment.