Description

The University of Texas at San Antonio, College for Health, Community and Policy, Department of Kinesiology invites applications for a full-time Tenure-Track Assistant Professor position in Kinesiology with expertise in artificial intelligence (AI), data science, sports technology, robotics, or other areas of technology. 

The successful candidate will establish an active, interdisciplinary research program that secures external grant funding from federal or state agencies, private funding sources, or associations, while fostering collaborations within and outside Kinesiology, such as Engineering, Computer Science, Information Systems, Data Science, and Health Sciences. They may be asked to develop and teach a new course in AI or data science in Kinesiology and provide instructional support for existing Kinesiology curriculum including but not limited to Statistics, Evaluation, Exercise Physiology, Biomechanics, or Strength and Conditioning. This position will be provided the resources, mentorship, and infrastructure aligned with a tenure-track Assistant Professor role.

Requirements

This position may require the ability to maintain the security and integrity of UT San Antonio and its infrastructure per Texas EO-GA-48.

Required qualifications

The successful candidate must have:

        A doctoral degree in Kinesiology or a closely related field by the time of appointment. ABD candidates will be considered.

        Competencies in applying emerging technologies, such as AI, data science, sports technology, and/or robotics to the their own Kinesiology research.

        Excellence in undergraduate and graduate education in Kinesiology or evidence of teaching ability.

Preferred qualifications

The successful candidate will possess:

        An excellent scholarship record or strong potential for securing external funding from federal agencies (e.g., NIH, NSF, DoD) and private industry foundations.

        Teaching credentials with specific capability to teach undergraduate and graduate courses, such as Statistics, Evaluation, Exercise Physiology, Biomechanics, Strength and Conditioning and a newly developed course in AI and data science in Kinesiology.

        Applicants who hold relevant professional certifications, such as ACSM Exercise Physiologist, NSCA CSCS, ATC or other relevant certifications are highly encouraged to apply.