AssistantAssociate Professor in Sport, Performance, and Health Analytics
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Job Location:
Greensboro, NC - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Position Summary
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. We particularly welcome candidates who use advanced quantitative approaches such as health sport or performance analytics wearable technologies computational modeling machine learning and/or large-scale movement/health datasets to study human performance injury prevention and/or rehabilitation following injury.
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 (e.g. biomechanics motor control motor learning physiology quantitative research methods and statistics). 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.
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. We particularly welcome candidates who use advanced quantitative approaches such as health sport or performance analytics wearable technologies computational modeling machine learning and/or large-scale movement/health datasets to study human performance injury prevention and/or rehabilitation following injury.
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 (e.g. biomechanics motor control motor learning physiology quantitative research methods and statistics). 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.
Required Experience:
IC
Key Skills
- AI
- Genetics
- Clinical Trials
- Pharmacy Residency
- Research Experience
- Teaching
- Higher Education Teaching
- Curriculum Development
- Grant Writing
- Program Development
- Mentoring
- Research Laboratory Experience
About Company
Learn about UNC Greensboro’s award-winning academic degree programs, student life, hands-on research opportunities for freshman and upperclassmen, and the city of Greensboro.
