Post Doctoral Researcher

Emory • Atlanta, GA

20h • Onsite

About The Position

We are seeking a postdoctoral researcher at the intersection of neuroscience, machine learning, and clinical neural engineering to join a collaborative team developing the next generation of intelligent deep brain stimulation (DBS) systems for movement disorders. Dr. Miocinovic's laboratory at Emory University focuses on brain circuits involved in motor and cognitive behaviors in Parkinson’s disease and other movement disorders. The lab investigates how to treat these disorders by modulating neural activity, primarily with DBS, and works on developing next-generation neuromodulation approaches. The methods used in the lab include intracranial recordings during DBS surgeries and non-invasive (EEG, EMG, kinematic) recordings in the clinic. These approaches are enhanced by advanced imaging techniques, biophysical computational modeling, quantitative symptom monitoring, behavioral tasks, and machine learning. A postdoctoral fellow would spearhead a project to develop an automated DBS programming platform using electrophysiologic signals recorded in the operating room and tested in the clinic and at home. This project is a close collaboration with Dr. Matthew Gombolay at Georgia Tech’s School of Computing and involves real-time deployment of machine learning algorithms. This is an excellent opportunity for those interested in translational neural engineering, offering cutting-edge scientific projects, attentive mentoring, and multi-disciplinary collaborations in a world-class research environment at Emory University and Georgia Institute of Technology.

Requirements

• PhD in Neuroscience, Biomedical Engineering, Neural Engineering or related disciplines
• Experience with neurophysiological studies
• Advanced quantitative signal processing skills (including expertise in Matlab or Python)
• Strong scientific writing ability and oral communication skills
• Ability to spearhead complex experiments in clinical environments in close collaboration with neurologists and neurosurgeons
• Record of first-author publications in peer-reviewed journals

Nice To Haves

• Experience with human electrophysiology
• Experience with machine learning algorithms

Responsibilities

• Spearhead a project to develop an automated DBS programming platform using electrophysiologic signals recorded in the operating room and tested in the clinic and at home.
• Conduct research at the intersection of neuroscience, machine learning, and clinical neural engineering.
• Collaborate with neurologists, neurosurgeons, and researchers at Georgia Tech.
• Develop and deploy machine learning algorithms in real-time.
• Perform intracranial recordings during DBS surgeries and non-invasive recordings (EEG, EMG, kinematic) in the clinic.
• Utilize advanced imaging techniques, biophysical computational modeling, quantitative symptom monitoring, and behavioral tasks.
• Write scientific publications and present research findings.

Benefits

• Attentive mentoring
• Multi-disciplinary collaborations
• World-class research environment

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree