Postdoctoral Research Associate I, II, or III (Neurosurgery)

The Clinical Neurophysiology, Neuromodulation, and Neural Engineering Laboratory located at the University of Arizona College of Medicine-Tucson; and co-affiliated with the Department of Biomedical Engineering; is seeking a highly motivated and creative Postdoctoral Researcher to join their lab. In this NIH-funded study, the main responsibility of this position will be to study neural signatures of chronic pain in human subjects who have received Spinal Cord Stimulation (SCS) therapy and developing adaptive stimulation therapies using state of the art signal processing and machine learning methods to provide better therapeutic outcomes to the patients.

Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more!

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• Perform neural data analysis using advanced signal processing techniques for the collected electroencephalogram (EEG) EEG data in patients with SCS implants.
• Develop real-time algorithms for filtering and artifact removal during EEG acquisition, ensuring high-quality data for immediate analysis.
• Develop and train machine learning models to classify and predict neural responses based on EEG data.
• Utilize supervised, unsupervised, and reinforcement learning techniques to discover patterns and relationships in complex neural datasets.
• Perform longitudinal analysis to assess changes in neural signals over time in patients with SCS implants.
• Write peer-reviewed manuscripts and present research findings at scientific meetings and conferences.
• Assist in the preparation of grant proposals and presentations to secure funding and investment for the development and commercialization of EEG-related technologies.
• Work closely with other team members to ensure the smooth operation of research activities and data integration.

Knowledge, Skills, and Abilities:

• Candidate should possess an understanding of neurophysiology, neuroscience, and neuromodulation.
• Candidate must have a signal processing background and good record of productivity and publications.
• Strong computational background with programming knowledge in MATLAB (for data analysis).
• Knowledge and ability to work with machine learning models.
• Proficiency in oral and written English.
• A keen interest in neural engineering and signal processing methods.
• Excellent time management skills and ability to finish complex projects.

• PhD degree in biomedical engineering, electrical and computer engineering, neuroscience, or a related field
  required.
• 0-4 years of relevant post-doctoral work experience.

• Proven experience in neural engineering or related research (preclinical and/or clinical).
• Experience working with machine learning models is desirable.

1) Current Curriculum Vitae (CV)

2) Cover Letter

3) Statement of Research