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Research Fellow, Device-Based Neuroelectronics Lab

Job ID 192289BR Date posted 11/08/2022
  • Phoenix, Arizona
  • Full Time
  • Neurologic Surgery
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Why Mayo Clinic
The Research shield at Mayo Clinic is committed to creating a diverse environment and recognizes that diverse research teams make better decisions, are more equipped to solve complex problems and adapt to change, and produce better outcomes. That diversity is about opening up to unconventional ideas that create better outcomes, while recognizing colleagues' unique contributions. Become part of the legacy that embraces these differences and enables us to provide the best care to patients from all over the world.

Mayo Clinic offers a variety of employee benefits. For additional information please visit Mayo Clinic Benefits. Eligibility may vary.

Position description
A postdoctoral fellowship position is available immediately in the Department of Neurosurgery at Mayo Clinic in Phoenix campus under the supervision of Dr. Jonathon J. Parker M.D., Ph.D. ( in the multidisciplinary Device-Based Neuroelectronics Lab (DBNL). This individual will focus on the development of novel methods of intracranial brain stimulation for the treatment of medication-refractory epilepsy. The lab works at the interface of human translational neurophysiology, brain imaging, and stimulation therapy design. We have close collaborations across Mayo Clinic with the labs of Dr. Greg Worrell, Dr. Kai Miller, and Dr. Dora Hermes. Additionally, the DBNL lab collaborates with Arizona's local top universities.

Our translational neuroscience research program at Mayo Clinic Arizona is focused on the development of mapping techniques to discover optimal neural stimulation targets for epilepsy. We are a national referral center for complex epilepsy surgery patients, with a state-of-the-art Epilepsy Monitoring Unit (EMU).

The lab utilizes human intracranial recordings to study the spectrum of systemic, neurologic, and psychiatric conditions. We use a combination of techniques spanning human electrophysiologic recordings, wearable sensors, animal models, therapeutic stimulation, and advanced brain imaging protocols.

This position requires a strong background in electrical engineering, neural engineering, applied mathematics, and/or computational neuroscience. All levels of post-doctoral experience will be considered.

Qualified candidates should have a Ph.D. or equivalent degree and a publication record that demonstrates proficiency in the above techniques. In addition to writing software, carrying out stimulation experiments, and analyzing data - the fellow will be expected to submit and present their work at national and international conferences. The fellow will be expected to independently design experiments, collect data, craft manuscripts, and assist in grant writing. Excellent verbal and written communication skills in English are essential. Some travel to present work and visit collaborators will be required and supported.

A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education in research. Individuals will train in the research program of a Mayo Clinic principal investigator. Mentorship opportunities are available and encouraged with students rotating in the lab. Qualified individuals will demonstrate the potential for research as evidenced by their training and peer-reviewed publications and should become competitive for national research grants.

The following is required for application:
  • Current NIH-style CV with full bibliography
  • Brief 1-page cover letter describing research background and career goals
  • Copy of the first or co-author manuscript the applicant feels best represents their most impactful work
  • Proof of doctoral degree (copy of a diploma or final transcript with English translation, if applicable) or a letter from your university's Registrar's office indicating you have fulfilled all doctoral program requirements and are eligible to graduate.

Please also be prepared that you may be asked to provide three letters of recommendation to the hiring PI prior to an interview.

Must have a Ph.D., M.D., or equivalent doctoral degree in a field deemed relevant by the program.

Additional qualifications
Required: Competence with MATLAB, R, Python, and C/C++
Required: Background in processing neural local field potential recordings using time-frequency analytic techniques
Preferred: Experience working in a clinical setting
Preferred: Experience with software and prototype scale small hardware development (i.e. Arduino)
Ideal: Strong statistical and mathematic background, expertise in spatio-temporal statistical models, vector math, and principal component analyses

Benefits eligible

Full Time

Site description
Over the next four years, Mayo Clinic is making significant investments in both the physical and technological future of health care, through doubling the size of the Mayo Clinic campus in Phoenix, inclusive of practice, education, and research activities. Mayo Clinic's campuses in Arizona are located in Phoenix and Scottsdale, in the beautiful Sonoran Desert. The region is known as the Valley of the Sun, a metropolitan area with more than 4 million residents in 25 cities and towns.

With Phoenix being the fifth largest city in the nation, this sunny "desert metropolis" offers the amenities of a big city in the midst of a strikingly beautiful, rugged, southwest landscape.

Scottsdale frequently earns praise as a highly desirable place to live. The city's more than 200,000 residents enjoy a vibrant mix of culinary hot spots, arts and entertainment, professional and collegiate sports teams, and community resources. The region's desert climate promotes an outdoor lifestyle with a full complement of sports and recreation.

Lei Feng

As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available.
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