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Form of work GENERAL REQUISITION INFORMATION
EEO Statement: UNMC is an Affirmative Action Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals with disabilities.
Location Omaha, NE Requisition Number: 2023-141 Department Neurosurgery 50003929 Business Unit(College/Institute) College of Medicine FTE: 100
Reg-Temp Full-Time Regular Work Schedule TBD by Patient Care, Research, Academic Requisition Category Research - Academic Requisition Title Research Faculty (DOQ) Job Title/Academic Rank Research Faculty (DOQ) Additional Requisition Title Appointment Type L1 - REG SPECIAL FAC/S Salary Range Salary Commensurate with Experience Job/EEO Category Faculty Job Requisition Begin Date 04/28/2023 Position Qualification
Position Summary The Department of Neurosurgery seeks a talented faculty member to study the neurophysiology of sleep in human subjects, within the combined translational research efforts of Aviva Abosch, MD, PhD, Professor and Chair, Department of Neurosurgery, University of Nebraska Medical Center (UNMC), and Stephen Gliske, PhD, Associate Professor, Department of Neurosurgery. This project is NIH-funded and represents a collaborative effort between UNMC, Stanford University (Clete Kushida, MD), University of Colorado Anschutz Medical Campus (John Thompson, PhD), University of Pennsylvania (Casey Halpern, MD), and York University (Joel Zylberberg, PhD). The focus of this position will be on the acquisition and analysis of multi-night recordings of simultaneous scalp EEG, EMG, and intracranial deep brain stimulator (DBS)-recorded local field potential (LFP) data, working at the interface of translational neuroscience, advanced signal processing, and computational physics.
The UNMC Department of Neurosurgery is comprised of eleven faculty members and has numerous close collaborations with other clinical and basic science departments. Specialized services and expertise are offered in areas of functional and stereotactic neurosurgery, endovascular and cerebrovascular neurosurgery, neuro-oncology, complex spine and deformities, and surgical spine oncology.
As Nebraska's only public academic health sciences center, UNMC is committed to the education of a 21st century health care workforce, to finding cures and treatments for disease, providing the best care for patients, and serving Nebraska and its communities through award-winning research and clinical care.
Required qualifications for this position include a PhD in a relevant field (neural engineering, neuroscience, applied math, electrical engineering, biomedical engineering, physics, or other related field). Also required are excellent leadership, project management, and communication skills, the ability to run experiments independently, to analyze data and to plan future research direction, combined with excellent team skills. We seek a highly self-motivated, inquisitive scientist, with a track-record of publication in peer-reviewed journals
Successful candidates for the role will have experience in research design, data and statistical analysis, be fluent in at least one programming/scripting language (e.g., MATLAB, Python, etc.), and have advanced mathematical skills. The ideal candidate will have prior experience in analysis of EEG, LFP, and/or neurostimulation.
Interested candidates should apply at the following link:
https://unmc.peopleadmin.com/postings/78843. Individuals from diverse backgrounds are encouraged to apply.
Doctorate degree in Neuroscience, Computer Science, Bioengineering or related field
2-3 years demonstrated experience with the programming/scripting language (e.g., MATLAB, Python, etc.), - such as published examples of work, personal web-based examples (e.g., Medium) or a public repository (e.g., Github, Gitlab, Bitbucket, etc.,).
Supplemental Qualifications Experience with signal processing
Experience with machine learning tools/approaches
Experience with statistics
Previous experience with human scalp-or intracranial EEG or animal intracranial electrophysiology is preferred.
Proven ability to conduct high-quality research evidenced by first author publications
