Biosignals for Computational Cardiology Faculty

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
  
  Please apply online at https://aprecruit.ucsf.edu/JPF05624 with your CV and cover letter, as well as statements of research and teaching. Applicants' materials must list current and/or pending qualifications upon submission. To receive full consideration, please submit all materials prior to the initial review date. However, this position will remain open until filled.
  
  For positions that are 51% effort or more:
  The posted UC salary scales set the minimum pay determined by rank and step at appointment. See [Table 5] https://www.ucop.edu/academic-personnel-programs/_files/2024-25/oct-2024-scales/t5-summary.pdf). The minimum base salary range for this position is $127,000-$333,700. This position includes membership in the [health sciences compensation plan](https://ucop.edu/academic-personnel-programs/_files/apm/apm-670.pdf) which provides for eligibility for additional compensation.
  
  For positions that are 50% effort or less:
  See [Table 2](https://www.ucop.edu/academic-personnel-programs/_files/2024-25/oct-2024-scales/t2.pdf) for the salary range for this position. A reasonable estimate for this position is $90,700- $238,300.
  
  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.
  
  To apply, please visit https://aprecruit.ucsf.edu/JPF05624
  
  
  
  
  
  
  
  
  
  
  
  
  
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