Description

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.

Requirements

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.