Career Center

This Postdoctoral Scholar Position is established in support of expanded, grant-funded research activities. Duties for the Postdoctoral Scholar include engaging in rural research related to STEM education and workforce development with a focus on using current measurement science/psychometric techniques. Additional and more specific responsibilities include leading, assisting with, and/or managing graduate students and research staff in designing measures and databases; collecting and managing data; completing psychometric analyses; publishing scholarly articles; preparing and delivering research presentations; identifying and assisting with and/or leading writing of proposals for procuring externally funded grants; pursuing training and use of state-of-the art measurement techniques; producing reports related to the scope of work for rural STEM education research projects at the Child Development Research Center and with collaborating partners; and engaging in teaching, training, and other activities to support career development.

Minimum Qualifications: The position requires a terminal degree (Ph.D.) in education, psychology, sociology, public health, STEM fields (e.g., mathematics, science), or a related field from an accredited institution at the time of the appointment within the last two years. Evidence of substantive interest, knowledge, and background in rural STEM education research, practice, and/or policy. U.S. citizenship or permanent residency status is required.

Knowledge/Skiills/Expertise Required: Candidates must have intermediate knowledge in development, measurement, and statistics. Candidates must have demonstrated expertise in the knowledge of best practice, evaluation, assessment, research methods, and/or statistical analyses related to rural research. Candidates also must have experience in and be capable of planning, undertaking, and summarizing the results of statistical analyses.

Preferred Qualifications: Experience in (1) developmental science and/or education, (2) engaging in research and a strong track record of publication, (3) statistical background to at least the intermediate level of multiple regression, (4) computer literacy with knowledge of at least one statistical software package (e.g., R, Mplus, Stata, SAS), and (5) working collaboratively and effectively with colleagues and/or external stakeholders.