Assistant Professor of Research Ophthalmology Los Angeles, CA Apply Current employees apply here Job ID REQ20176398 Category Faculty Helpful Information for Applicants External Applicants Internal Applicants (Current USC Employees) The University of Southern California (USC), founded in 1880, is the largest private employer in the City of Los Angeles. As an employee of USC, you will be a part of a world-class
research university and a member of the "Trojan Family," which is comprised of the faculty, students and staff that make the university what it is.USC Institute for Technology and Medical Systems Innovation (ITEMS) is a joint Keck-Viterbi initiative to bridge engineering and medicine to bring about fundamental advances in the general fields of bioengineering, electronic systems, and neuroscience. In collaboration
with the Department of Ophthalmology, USC Keck School of Medicine, ITEMS is currently seeking exceptional candidates for the Assistant Professor of Research to join the dynamic team.The candidate’s job responsibilities and accountabilities surround the sustainability of extramurally funded research programs. A successful candidate will have experience in designing, submitting, executing, and managing his/her own
proposed projects. This individual will also have a strong background in conducting research studies and possess the abilities to translate measurements and associated data to publish peer-reviewed manuscripts, develop grant applications and deliver technical presentations at meetings within and outside of the university.Preferred Qualifications:Preferred Education:Ph.D. in Electrical Engineering, Biomedical
Engineering, Neuroscience, or other relevant disciplinesPreferred Experience: Strong background in computational neuroscience, experimental neuroscience, and retinal connectomicsExperience with artificial intelligence and machine learning methods for biomedical data analysisExpertise in large-scale image processing, neural circuit reconstruction, and multimodal data integrationExperience with high-performance
computing and analysis of large biological datasetsProficiency in statistical modeling and quantitative analysis of neural systemsExperience developing computational pipelines and automated workflows for scientific researchKnowledge of retinal physiology, ophthalmic imaging, or visual neuroscienceExperience working in interdisciplinary research environments involving engineering, neuroscience, and ophthalmologyTrack
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