Postdoctoral Research Associate - College Of Engineering - Engineering And Public Policy
Carnegie Mellon University
Pittsburgh, PA, US
Not specified; not specified; comprehensive benefi...
Onsite
Ph.d. in behavioral science discipline
Strong methodological and mixed-methods skills
Experience with experimental design and data analysis
Carnegie Mellon University is seeking a Postdoctoral Research Associate in its Department of Engineering and Public Policy to work on a multidisciplinary project focused on developing a wearable monitoring system for maternal and fetal health. The position requires expertise in behavioral science and a commitment to health equity, and it offers a collaborative research environment with opportunities for professional growth
Job Summary
The researcher will join a federally funded, highly interdisciplinary project to develop a wearable, multimodal maternal–uterine/placental–fetal monitoring system.
This two-year appointment involves leading user research studies, including experimental surveys, interviews, and observations in clinical labor settings.
Benefits include comprehensive medical, dental, and vision insurance, a generous retirement savings program, and access to a free Pittsburgh Regional Transit bus pass.
Matching Summary
Match Score: 85
Carnegie Mellon University is seeking a Postdoctoral Research Associate in its Department of Engineering and Public Policy to work on a multidisciplinary project focused on developing a wearable monitoring system for maternal and fetal health. The position requires expertise in behavioral science and a commitment to health equity, and it offers a collaborative research environment with opportunities for professional growth.
Salary
Not specified; Not specified; Comprehensive benefits package including medical, dental, vision, and retirement contributions
Skills & Requirements
Must-have
Ph.D. in behavioral science discipline
Strong methodological and mixed-methods skills
Experience with experimental design and data analysis
Nice-to-have
Experience conducting research in clinical settings
Familiarity with wearable technologies or biomedical devices
Experience with machine learning methods applied to health data
Key Requirements
Ph.D. in decision science, psychology, or related field
Track record of peer-reviewed scientific publications