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Assistant Professor - Health Analytics

The University of North Carolina at Chapel Hill
Chapel Hill, NC, US
Permanent

Successful candidates will demonstrate expertise in data analytics in health which may involve, but not be limited to, applications to exercise, health promotion, and / or injury and disease prevention.

Potential applicants should have a strong interest in developing impactful collaborative opportunities within the Department, across the College of Arts and Sciences, and across the greater UNC community including School of Medicine and Gillings School of Global Public Health, and the recently established School of Data Science and Society.

Applicants should have a record of scholarly productivity, and a record of interdisciplinary research is desirable. The interest areas of the applicant should align with and complement the faculty who support the mission of the Department of Exercise and Sport Science and the Human Movement Science PhD program.

Responsibilities :

  • Plan, establish, and develop a focused independent research agenda
  • Seek extramural funding to support research efforts
  • Collaborate with colleagues across campus and in Exercise and Sport Science to support and develop multidisciplinary research
  • Serve as a mentor to undergraduate and graduate students across a diverse student population
  • Teach undergraduate and graduate courses in Exercise and Sport Science related to research methods, statistics, data analytics, and / or other foundational areas biomechanics, exercise physiology, neuromuscular control) aligning with the candidate’s expertise
  • Serve as a research advisor and / or committee member for undergraduate and graduate students in the Department of Exercise and Sport Science
  • Participate as a core faculty member and contribute to mentoring doctoral trainees in the Human Movement Science doctoral program
  • Participate in departmental and university service and governance functions
  • Perform these, and other responsibilities and duties, as may be assigned by the department Chair in a collegial and respectful manner Minimum Education and Experience Requirements - An earned doctorate PhD, DSc, etc.

by the position start date, in Exercise Science, Kinesiology, Epidemiology, Biostatistics, Public Health, or a related field

  • Demonstrated expertise and record of research publications employing data analytics in health which could include but is not limited to injury / disease prevention, movement analysis, or health promotion / public health Preferred Qualifications, Competencies, and Experience - Record of, or strong potential for, securing extramural research funding and / or experience working on extramurally funded projects
  • Collegiate-level teaching is desirable
  • Record of research advising and / or mentoring is desirable
  • Experience in applying advanced data analysis and modeling methods machine learning, artificial intelligence, predictive analytics, network analysis, etc.

in cross-disciplinary analytics research Special Physical / Mental Requirements Campus Security Authority Responsibilities

19 days ago
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