Medicine, Computational Precision Health (CPH) / SCHOOL OF MEDICINE / UC San Francisco
Open date: June 30, 2025
Most recent review date: Wednesday, Jan 14, 2026 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: Wednesday, Dec 30, 2026 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.
Faculty Search Title: Biosignals for Computational Cardiology Faculty Search
UCSF Department of Medicine, Division of Cardiology – HS Clinical, Clinical X, Adjunct, and In Residence Faculty Computational Precision Health, EVCP
CBR Faculty Job Advertisement
The Department of Medicine, Division of Cardiology and the UCSF UC Berkeley Joint Program in Computational Precision Health (CPH) invite scientist or physician-scientist applicants with a research program in signal processing and analyses of biosignals or other signals with techniques that are applicable to human biosignals (e.g. electrocardiograms, photoplethysmography or other signals) for a faculty position. The selected candidate will be appointed at the level of Assistant Professor, Associate Professor or Full Professor in any of the In Residence, HS Clinical, Clinical X, or Adjunct series depending on qualifications and interests.
Candidates with research programs focused on cardiovascular disease or cardiovascular signals are preferred, with an emphasis on developing and utilizing signal processing techniques to understand cardiovascular physiology, identify cardiovascular risk, phenotyping disease, or developing novel or improving existing diagnostic tests. The faculty member may supervise and teach residents, fellows, post-doctoral fellows and students in the UCSF Division of Cardiology, and may serve as dissertation advisor for PhD students in Computational Precision Health and, in select cases, for PhD students in other departments (e.g., EECS) at UC Berkeley Depending on best fit, successful candidates will be appointed primarily in either the UCSF's Division of Cardiology or CPH (joint between UCSF and UC Berkeley) or jointly in both. The successful applicant would join the vibrant and growing CPH program, which includes a PhD training program and brings together the world-class expertise and computational resources of both UCSF and UC Berkeley. Successful applicants would also be joining the Center for Biosignal Research in the UCSF Division of Cardiology and a robust research infrastructure within Cardiology at UCSF.
Successful candidates may be nominated, if appropriate, to be the holder of the endowed Distinguished Professorship in Cardiology Research, in the Division of Cardiology at UCSF, as part of their faculty appointment.
Requirements: MD, PhD, or MD/PhD, or equivalences
Preferred/Desirable Qualifications: At least 3 years of postdoctoral experience, ideally leading to a tenure-track faculty position Track record of peer-reviewed publications and established research program (with track record of peer-reviewed funding) in signal processing and analysis, with preference for cardiovascular disease or cardiovascular signals
Document requirements
Reference requirements
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
The University of California is an Equal Opportunity Employer. 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 status under state or federal law.
UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community.
San Francisco, CA
Tagged as: Life Sciences
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