Job Description:

The Sports Performance And Research Center (SPARC) at Flowery Branch is seeking a candidate to fill a postdoctoral research fellow position in the area of Neuromechanics of injury prevention and sports performance enhancement. SPARC houses a state-of-the-art biomechanics and neuroscience lab and offers unique opportunities to develop novel technology and pursue advanced scientific research. The facility includes a dedicated research MRI suite as well as a state-of-the-art motion capture lab and a range of electrophysiology equipment. As a critical component of this research, the candidate will work to develop and apply novel electrophysiological measurement and neuromodulation techniques, such as EEG/MEG source localization, real-time neurofeedback, and biomechanically grounded neuromodulation. During their fellowship, the candidate can expect to further develop their technical expertise and scientific skills and will be encouraged to disseminate their work to the broader scientific community. Candidates should be comfortable leading their own project, but also working as part of a larger research team. The position is a temporary appointment that will renew yearly depending on satisfactory performance and available funding. Appointments may not exceed 5 years.

Minimum Qualifications:

• A doctoral degree or equivalent in an appropriate field.
• Strong scientific writing ability and excellent communication skills.
• The ability to work effectively with colleagues on complex multidisciplinary problems.
• Additional qualifications as specified by the Principal Investigator.

Preferred Experience:

Expertise in mobile electrophysiology is strongly preferred, including a firm understanding of the principles of electroencephalography (EEG) and electromyography (EMG). Additionally, experience with individualized EEG or MEG source localization and real-time signal processing would be very beneficial to the role. A firm understanding of good software development practice and organizational skills are also encouraged.

Tagged as: AI, EEG, Machine Learning, Neuroscience