Open date: June 14th, 2021
Last review date: Monday, Jul 26, 2021 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Thursday, Sep 30, 2021 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
The UC Irvine Department of Biomedical Engineering in the Samueli School of Engineering is currently accepting applications for a postdoctoral scholar in the area of computational neuroscience and signal processing in the Laboratory of Computational and Translational Neuroscience, under the direction of Assistant Professor Beth Lopour.
The successful applicant will primarily contribute to an NIH-funded project examining electrophysiological biomarkers of refractory epilepsy in patients undergoing neurosurgical management. The postdoctoral scholar will collect and analyze large datasets of human intracranial electroencephalogram (EEG), and develop novel computational methods and models to discover and validate EEG biomarkers of epilepsy. The work will be done in collaboration with epilepsy specialists at the Children’s Hospital of Orange County (CHOC) with opportunities for co-mentorship by clinician scientists. The appointment will be full-time for a one-year period. Renewal of the contract will be contingent on the availability of adequate funding and performance.
Note that the University of California limits the total duration of an individual’s postdoctoral service to five years, including postdoctoral service at other institutions.
Salary is commensurate with qualifications and years of experience.
Requirements: Ph.D. in biomedical engineering or other relevant field, e.g., applied math, electrical engineering, or physics, is required. Prior experience with data analysis, particularly signal processing of time series data, and fluency in at least one programming language (with a preference for MATLAB) is preferred. Experience with EEG data analysis, familiarity with machine learning techniques, good written and oral communication skills, and experience collaborating in a multi-disciplinary team are also desirable. Candidates with an advanced medical degree, e.g. M.D. / Ph.D. candidates, will be strongly considered.
Ph.D. in biomedical engineering or other relevant field, e.g., applied math, electrical engineering, or physics.
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The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.