The University of North Carolina
Assistant/Associate Professor in Sport, Performance, and Health Analytics
The University of North Carolina, Greensboro, North Carolina, us, 27497
Assistant/Associate Professor in Sport, Performance, and Health Analytics
The Department of Kinesiology invites applications for a 9-month, tenure-track faculty position at the Assistant Professor level or tenured faculty position at the Associate Professor level with a 100% appointment in the Department. We are seeking big-data analytics expertise across multiple disciplines of Kinesiology, with priority being given to candidates who can teach undergraduate and graduate courses in biomechanics and motor control/learning and mentor student research. Minimum Qualifications: Earned Ph.D. in kinesiology, biomechanics, motor behavior, or a closely related discipline. Evidence of publishing independent, focused research (assistant level) or a strong record of nationally recognized line of scholarship (associate level). Knowledge of data analytic techniques in research and teaching within area of expertise. Demonstrated commitment to excellence in undergraduate and graduate instruction. Experience with programming software (e.g., Python, R, MATLAB and/or other programming software). Preferred Qualifications: Expertise in advanced biomechanical and analytic methods such as motion capture, musculoskeletal modeling, wearable sensors, sport/health informatics, neuromechanics, or machine learning. Experience with Python. Interest in interdisciplinary collaborations across kinesiology, informatics, computer/data science, athletics, or neuroscience. Demonstrated potential for (assistant level) or evidence of (associate level) obtaining external funding. Experience supervising and mentoring undergraduate and graduate students. Ability to contribute to innovative curriculum development in biomechanics, motor control/learning, sport/performance analytics and quantitative research methods and statistics. Please submit a vita, list of professional references, and a cover letter that includes a research statement and description of relevant teaching experiences.
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The Department of Kinesiology invites applications for a 9-month, tenure-track faculty position at the Assistant Professor level or tenured faculty position at the Associate Professor level with a 100% appointment in the Department. We are seeking big-data analytics expertise across multiple disciplines of Kinesiology, with priority being given to candidates who can teach undergraduate and graduate courses in biomechanics and motor control/learning and mentor student research. Minimum Qualifications: Earned Ph.D. in kinesiology, biomechanics, motor behavior, or a closely related discipline. Evidence of publishing independent, focused research (assistant level) or a strong record of nationally recognized line of scholarship (associate level). Knowledge of data analytic techniques in research and teaching within area of expertise. Demonstrated commitment to excellence in undergraduate and graduate instruction. Experience with programming software (e.g., Python, R, MATLAB and/or other programming software). Preferred Qualifications: Expertise in advanced biomechanical and analytic methods such as motion capture, musculoskeletal modeling, wearable sensors, sport/health informatics, neuromechanics, or machine learning. Experience with Python. Interest in interdisciplinary collaborations across kinesiology, informatics, computer/data science, athletics, or neuroscience. Demonstrated potential for (assistant level) or evidence of (associate level) obtaining external funding. Experience supervising and mentoring undergraduate and graduate students. Ability to contribute to innovative curriculum development in biomechanics, motor control/learning, sport/performance analytics and quantitative research methods and statistics. Please submit a vita, list of professional references, and a cover letter that includes a research statement and description of relevant teaching experiences.
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