Kinesiology: Health & Exercise Science Tenure-Track Prof

Ohio State University; North Carolina; On-site; USD 90,000 - 140,000; Full time

Job summary

The Ohio State University invites applications for a full-time (9-month) tenure-track position as Assistant/Associate Professor in Kinesiology - Health and Exercise Science. The department emphasizes behavioral science applications to exercise interventions affecting cardiovascular disease, cancer, aging, obesity, diabetes, and other chronic diseases, with strong extramural funding expectations.

The ideal candidate will integrate basic and applied science discoveries into behavioral

Qualifications

• Demonstrated research productivity and evidence of an independently funded research program.
• Demonstrated teaching competency.
• Post-doctoral training valued but not required.

Responsibilities

• Develop independent / extramurally funded research focused on behavioral aspects of exercise science.
• Contribute to a collaborative research team within exercise science, the department, college and university.
• Effectively teach undergraduate and graduate courses and engage in curriculum development to advance undergraduate and graduate education.
• Mentor graduate and undergraduate students to advance scholarship and career-readiness.
• Engage in academic service to advance the missions of the Health and Exercise Science Program, the Department and College.
• Experience/ willingness to pursue American College of Sports Medicine accreditation preferred.

Skills

Independent research

Teaching experience

Collaborative work

Mentoring

Education

PhD in Kinesiology

PhD in Psychology

PhD in Public Health

Job description

The Ohio State University invites applications for a full-time (9-month) tenure-track position as Assistant/Associate Professor in Kinesiology - Health and Exercise Science. The department emphasizes behavioral science applications to exercise interventions affecting cardiovascular disease, cancer, aging, obesity, diabetes, and other chronic diseases, with strong extramural funding expectations.

The ideal candidate will integrate basic and applied science discoveries into behavioral