Post-Doc Exercise Science U of North Carolina

A post-doctoral position is available in a newly forming laboratory in the Department of Exercise and Sport Science at the University of North Carolina at Chapel Hill, under the direction of Dr. Adam W. Kiefer. This is a full-time, 1-year position with the possibility of renewal for an additional year.
The fellowship is part of an NIH-funded multidisciplinary project to develop and test a first-of-its-kind technology platform for injury prevention, recovery and performance enhancement in sport. The approach draws from complexity science and evolutionary/developmental biology to quantify the behavioral plasticity, or resilience, of athletes returning to play after lower limb musculoskeletal or concussion injury. The cross-disciplinary approach will also leverage innovative explainable artificial intelligence with mixed-reality environments for real-time behavioral prediction of, and adaptation to, athletes. The candidate will collaborate closely with Co-Investigators at both the Center for Cognition, Action and Perception and the Department of Aerospace Engineering at the University of Cincinnati. There may also be opportunities to develop collaborations with industry and professional sports partners.
Candidates must hold a Ph.D. in either: (a) Exercise and Sport Science, Experimental Psychology, or a closely related field, or (b) Computer Science or a closely related field, with a strong background in behavioral research or in the modeling of complex systems.
(a)   A candidate with a strong background in behavioral research will ideally have foci in perceptual-motor control, nonlinear dynamics and time series analyses, with statistical expertise as well. 
(b)  A candidate with a strong computational background will ideally have experience with scientific computing (i.e., Python), with specific strengths in dynamical systems/differential equations. Additional experience with algorithm development, parallel computing or machine learning and/or experience programming in C# (or other OOP languages) or C++ (or other unmanaged languages) is a plus.
The ideal candidate will possess some aspects of both (a) and (b). The candidate must have excellent verbal and written communication skills and must have the ability to work on multidisciplinary teams and communicate effectively with team members at different levels of expertise. The start date is summer or early fall, 2019.
To express your interest, please send a CV, a 1-page statement of research interests, and the names of three references to Review of materials will begin June 1, 2019 and continue until the position is filled.