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The Sports Performance And Research Center (SPARC) at Flowery Branch is seeking two candidates to fill postdoctoral research fellow positions in the area of Neuromechanics of injury prevention. 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. During their fellowship, the candidates 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 multi- disciplinary problems. Additional qualifications as specified by the Principal Investigator.
Position 1
Project description : Develop and apply novel electrophysiological measurement and neuromodulation techniques, such as EEG/MEG source localization, real-time neurofeedback, and biomechanically grounded neuromodulation.
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.
Position 2
Project description: develop novel markerless motion capture techniques, with direct applications in virtual reality sports simulation, biomechanical assessments, rehabilitation, and neuroimaging.
Preferred Experience:
Expertise in machine learning applied to human biomechanics is strongly preferred. Additionally, experience developing applications for real-time human pose estimation is recommended. A firm understanding of good software development practice and organizational skills are encouraged. The candidate must be comfortable working with a variety of computing hardware with peripheral devices such as cameras, force plates, treadmills, and electrophysiological measurement systems (EEG/EMG).
Candidates should apply using the following page:
Any questions can be directed to myself (criehm@emory.edu) or Dr. Greg Myer (greg.myer@emory.edu), the Director of SPARC.
Chris Riehm, PhD
Asst. Research Scientist
Sports Performance and Research Center (SPARC)
Department of Orthopaedics
Emory University School of Medicine
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 multi- disciplinary problems. Additional qualifications as specified by the Principal Investigator.
Position 1
Project description : Develop and apply novel electrophysiological measurement and neuromodulation techniques, such as EEG/MEG source localization, real-time neurofeedback, and biomechanically grounded neuromodulation.
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.
Position 2
Project description: develop novel markerless motion capture techniques, with direct applications in virtual reality sports simulation, biomechanical assessments, rehabilitation, and neuroimaging.
Preferred Experience:
Expertise in machine learning applied to human biomechanics is strongly preferred. Additionally, experience developing applications for real-time human pose estimation is recommended. A firm understanding of good software development practice and organizational skills are encouraged. The candidate must be comfortable working with a variety of computing hardware with peripheral devices such as cameras, force plates, treadmills, and electrophysiological measurement systems (EEG/EMG).
Candidates should apply using the following page:
Any questions can be directed to myself (criehm@emory.edu) or Dr. Greg Myer (greg.myer@emory.edu), the Director of SPARC.
Chris Riehm, PhD
Asst. Research Scientist
Sports Performance and Research Center (SPARC)
Department of Orthopaedics
Emory University School of Medicine