Stanford University
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2 weeks ago
Postdoctoral Fellow in Physiologic Waveform Analysis and Biomedical Signal Processing at Stanford University Stanford University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Paid postdoctoral fellowship with an expected base pay range of $79,056-$80,000 per year. The position is fixed term for one year with opportunity for renewal. The post mentions pay above the required minimum and support for grant or fellowship applications, but no tuition or scholarship funding is described.
Country
United States
University
Stanford University
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About this position
Stanford University is advertising an open postdoctoral fellow position with faculty mentor Anoop Rao in the Department of Pediatrics, Division of Neonatology, and the Neonatal Engineering, Signals, and Technology (NEST) Lab.
The project sits at the intersection of biomedical engineering, electrical engineering, computer science, and medical science, with a strong emphasis on physiologic waveform analysis, biomedical signal processing, computational modeling, time-series analysis, and machine learning. The fellow will analyze continuous clinical monitoring data from neonatal, pediatric, and/or adult patients, including arterial blood pressure, pulse oximetry, photoplethysmography, ECG, respiratory waveforms, and heart rate trends.
Research topics may include signal quality assessment, artifact detection, waveform segmentation, feature extraction, hemodynamic modeling, validation against clinical reference standards, and development of reproducible Python and/or MATLAB pipelines for bedside monitoring. The role is highly collaborative and includes opportunities to work with clinicians, engineers, data scientists, trainees, and other Stanford researchers.
Eligibility highlights: applicants should have a PhD, MD, MD-PhD, or equivalent degree in a relevant quantitative or biomedical field; strong Python and/or MATLAB skills; and experience with physiologic signals, biomedical waveforms, or high-dimensional biomedical datasets. Strong communication, organization, and manuscript-writing skills are expected.
Funding: this is a paid postdoctoral appointment with an expected base salary range of $79,056-$80,000 per year. The appointment is fixed term for one year with an opportunity for renewal.
How to apply: email [email protected] with the subject line Application for a Postdoctoral Fellowship. Submit a one-page letter of interest and research summary, a current CV or resume, and contact information for three references.
Funding details
Paid postdoctoral fellowship with an expected base pay range of $79,056-$80,000 per year. The position is fixed term for one year with opportunity for renewal. The post mentions pay above the required minimum and support for grant or fellowship applications, but no tuition or scholarship funding is described.
What's required
Applicants must hold a PhD, MD, MD-PhD, or equivalent degree in biomedical engineering, electrical engineering, computer science, data science, applied mathematics, physiology, biostatistics, or a related field. Strong programming skills in Python and/or MATLAB are required, along with experience analyzing physiologic signals, biomedical waveforms, time-series data, or other high-dimensional biomedical datasets. Candidates should have a strong foundation in signal processing, statistical analysis, computational modeling, or algorithm development, plus excellent organizational, communication, problem-solving, and manuscript-writing skills. Desired experience includes cardiovascular, respiratory, hemodynamic, ECG, arterial blood pressure, pulse oximetry, photoplethysmography, clinical data sources, machine learning, deep learning, reproducible coding, and multidisciplinary teamwork.
How to apply
Email [email protected] with the subject line 'Application for a Postdoctoral Fellowship'. Include a one-page letter of interest and summary of previous research experience, a current CV or resume, and contact information for three references.
More information can be found here
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