Postdoc: Longitudinal Child Development & Health

University of Michigan; Ann Arbor (MI); Hybrid; USD 52,000 - 68,000; Full time

Job summary

The University of Michigan School of Kinesiology invites applications for a Postdoctoral Research Fellow to join an international team examining how motor development, fitness, and mental health relate across childhood. The role centers on secondary analysis of eight waves of longitudinal data from ages ~5-12 and leading high-quality publications while developing an independent research program.

The ideal candidate will have a PhD, strong quantitative skills, and experience with complex datasets

Qualifications

• PhD or equivalent in relevant field by start date.
• Strong quantitative skills and experience with complex datasets.
• Expertise in longitudinal data analysis.
• Ability to work in a multidisciplinary, international team.

Responsibilities

• Lead secondary analysis and publication of the longitudinal cohort data.
• Apply longitudinal statistical methods (mixed-effects, latent growth, time-lagged models).
• Manage data preparation, quality checks, and dataset creation.
• Collaborate to develop analytical strategies for complex longitudinal questions.
• Lead manuscript preparation and submission to peer-reviewed journals.
• Coordinate papers and analyses across an international team; disseminate findings.

Skills

Quantitative skills

Longitudinal analysis

Statistical modeling

Scientific writing

Education

PhD or equivalent

Job description

The University of Michigan School of Kinesiology invites applications for a Postdoctoral Research Fellow to join an international team examining how motor development, fitness, and mental health relate across childhood. The role centers on secondary analysis of eight waves of longitudinal data from ages ~5-12 and leading high-quality publications while developing an independent research program.

The ideal candidate will have a PhD, strong quantitative skills, and experience with complex datasets