Post Doctoral Researcher - 10987BR
Post Doctoral Researcher
Under the supervision and mentorship of the Director of KUCDD, the postdoctoral researcher will advance his or her training in applied research design and data analysis in the disability field. The postdoctoral researcher will be expect to design and implement research design analysis plans and formulate research methods. He or she will coordinate database management as well as data analysis, and interpreting results. He or she will be expected to co-author or author publications.
NOTE: To be appointed at the Postdoctoral Researcher title, it is necessary to have the PhD in hand. Appointments made without a diploma or certified transcript indicating an earned doctorate are conditional hires and are appointed on an acting basis.
- 55% - Work with the KUCDD Director to design and implement data analysis plans for applied research in the disability field, this will include conceptualizing and completing research design plans and statistical analyses, writing manuscripts for publication, and supporting data analysis.
- 35% - Participate in grant preparation, including the development of the research methodology and data analysis plans.
- 10% - Develop and implement a plan for completing research and publications on research design and data analysis methodologies in the social sciences.
- Ph.D. in quantitative psychology or related field.
- Experience with research design and data analysis in the social science, with a specific focus on the application of structural equation modeling, multi-level modeling, and longitudinal data analysis, evidenced by application materials.
- Minimum two years experience working as a member of a research team.
NOTE: To be appointed at the Postdoctoral Researcher title, it is necessary to have the PhD in hand. Appointments made without a diploma or certified transcript indicating an earned doctorate are conditional hires and are appointed on an interim basis not to exceed six months.
- Experience in the application of research design and data analysis in the disability field.
- Experience with self-determination assessment data and its analysis.
- Experience with latent variable analysis, including multi-group comparisons to establish measurement invariance and test cross-group differences.
- Experience with supporting the development of IES and NIH grants.
- Publications in peer-reviewed journals.
Additional Candidate Instructions
Review of applicants will begin February 28, 2018 and continue until the position is filled.