Bijan Najafi
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Postdoctoral Scholar in AI and Digital Health Innovation University of California, Los Angeles in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral Scholar salary is based on the UC Salary Scales and determined by rank and step at appointment; see Table 23 for the applicable postdoctoral scholar scales.
Deadline
Dec 31, 2026
Country
United States
University
University of California, Los Angeles
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About this position
UCLA’s Center for Advanced Surgical and Interventional Technology (CASIT), within the Department of Surgery at the David Geffen School of Medicine, is recruiting a postdoctoral scholar to help advance AI and digital health innovation in a highly translational clinical environment.
The position focuses on building intelligent health technologies that move beyond benchmarks and into real-world healthcare. The scholar will work with clinicians, engineers, researchers, and industry partners on projects that combine multimodal health data such as wearable and sensor streams, medical images and video, speech, human movement, physiological signals, and clinical information.
Research themes include digital biomarkers, remote monitoring, precision health, clinical decision support, intelligent surgical systems, AI for brain and functional health, and digital interventions. The role spans methods such as computer vision, multimodal AI, machine learning, deep learning, foundation models, and agentic or generative AI, with an emphasis on clinically meaningful questions, prototype development, validation, and eventual real-world deployment.
CASIT’s broader portfolio includes AI-enabled surgical and interventional systems, wearable sensing, wound monitoring, telehealth, healthy aging, and functional resilience. The postdoctoral scholar will join a multidisciplinary setting designed to support cross-domain collaboration and translational research that can be validated in practice and improve patient outcomes.
Mentorship is provided by Dr. Bijan Najafi, Professor of Surgery and Research Director of CASIT, with opportunities to lead interdisciplinary projects, mentor trainees, and contribute to a growing research program at UCLA Health.
Funding details
Postdoctoral Scholar salary is based on the UC Salary Scales and determined by rank and step at appointment; see Table 23 for the applicable postdoctoral scholar scales.
What's required
A Ph.D. (or equivalent) in Computer Science, Biomedical Engineering, Electrical and Computer Engineering, Data Science, Robotics, Computational Health, or a closely related quantitative field is required and must be conferred by the start date. Applicants should have a strong research and publication record in AI, machine learning, computer vision, digital health, biomedical engineering, medical AI, or a closely related area, with expertise in one or more of deep learning, computer vision, multimodal learning, time-series analysis, signal processing, foundation models, digital biomarkers, or agentic AI. Strong programming and data-analysis skills are required, particularly in Python and modern machine-learning frameworks such as PyTorch or equivalent. Experience with complex, high-dimensional datasets and clear scientific communication skills are expected. Preferred experience includes wearable sensors, digital biomarkers, medical imaging, speech analytics, human movement, remote monitoring, physiological signals, multimodal or longitudinal data, large language models, vision-language models, generative AI, surgical or medical data, real-world deployment, trustworthy AI, grant proposals, mentoring, or clinical translation.
How to apply
Apply through the UC Recruit system using the provided application link. Submit a current CV, cover letter, and 2 to 3 representative publication reprints. Optional links to code repositories, software, project websites, or demos are encouraged, and three references are required by contact information only.
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Professors
Professor at University of California, Los Angeles
United States
Research Interests
Neuropsychology
Statistics
Biomedical Engineering
Salud Pública
Digital Health
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.