Training Programs

CPC is committed to training upcoming generations of scholars and professionals in population research and methodology.   Training activities encompass several areas at the center:

• Predoctoral training unites a firm base in a social science or health discipline with formal training in core demography and faculty mentored research-based training in an increasingly broad array of population topics.
• The Postdoctoral program involves close mentoring relationships between CPC faculty fellows and postdoctoral scholars, customized to fit the goals and interests of both.
• CPC offers seminars that increase understanding of and share experiences with research projects and methodology.
• CPC develops training tools and materials and makes them available to the research and professional communities to advance the approaches to complex population and health information problems in the US and globally.

CPC Predoctoral Program

• Overview
• 2016-17 Predoctoral trainees
• Program requirements
• Approved population courses
• Application instructions
  • 2017-18 Reapplication form for current CPC trainees
    application deadline - January 27, 2017
    
  • 2017-18 New-to-CPC application form
    application deadline - January 27, 2017
• Supplemental compensation policy

CPC Postdoctoral Program

• Overview
• 2016-17 Postdoctoral scholars
• 2017-18 CPC postdoctoral application instructions
  application deadline - January 27, 2017
• Special call for applications to the CPC Postdoctoral Training Program - deadline January 6, 2017
• Supplemental compensation policy

CPC Undergraduate Internship Program

• Summer 2017 Undergraduate Internship Program Call for Applications

• Undergraduate Intern Alumni

CPC Resources and Services

• 2016-17 Carolina Population Center Interdisciplinary Seminar Series
• 2016-17 Carolina Population Center Interdisciplinary Workshop Series
• Services at CPC

Online Training Programs

• MEASURE Evaluation offers dozens of online training programs for individuals and organizations interested in self-guided learning to strengthen monitoring and evaluation skills and build capacity to identify data needs, collect and analyze technically sound data, and use that data to improve program planning and decision making, thus improving health systems and health status.

Other Resources

• 2016-17 Responsible Conduct of Research (RCR) - online resources and workshop archive
• Programming and computing resources
• Contact us