Columbia University
Assistant or Associate Professor of Biomedical Engineering
Columbia University, New York, New York, us, 10261
Position Overview
Columbia Engineering invites applications for a tenure-track faculty position as Assistant Professor or Associate Professor (without tenure, but on tenure‑track) in the Department of Biomedical Engineering, with start date July 1 2026.
We welcome applications in all areas of biomedical engineering, with particular emphasis on biomedical imaging and neural engineering.
Areas of Interest
Biomedical Imaging: advanced MRI methods, functional and structural neuroimaging, optical imaging, molecular and cellular imaging, ultrasonic imaging, image‑guided interventions, computational imaging, multi‑modality imaging, AI‑driven imaging analytics, and imaging technologies for precision medicine.
Neural Engineering: brain‑machine interfaces, neuromodulation, neural signal processing, neurotechnology development, computational and systems neuroscience, neural recording and stimulation technologies, wearable and implantable neural interfaces, and machine‑learning approaches for decoding brain activity.
Qualifications Candidates must hold a Ph.D. in Biomedical Engineering or a related field, or its professional equivalent, by the start date.
Applicants should demonstrate the potential for pioneering research and effective teaching at undergraduate and graduate levels.
Responsibilities
Develop an original, leading, and externally funded research program.
Contribute to the educational mission through teaching and mentorship.
Participate actively in Columbia's vibrant multidisciplinary research community.
Columbia Engineering fosters cross‑disciplinary collaborations across the University, including the Vagelos College of Physicians and Surgeons, the Data Science Institute, the Zuckerman Mind Brain Behavior Institute, the Irving Medical Center, and other departments within Columbia Engineering.
Columbia University is an Equal Opportunity Employer / Disability / Veteran.
Pay Transparency Disclosure The salary for the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting.
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We welcome applications in all areas of biomedical engineering, with particular emphasis on biomedical imaging and neural engineering.
Areas of Interest
Biomedical Imaging: advanced MRI methods, functional and structural neuroimaging, optical imaging, molecular and cellular imaging, ultrasonic imaging, image‑guided interventions, computational imaging, multi‑modality imaging, AI‑driven imaging analytics, and imaging technologies for precision medicine.
Neural Engineering: brain‑machine interfaces, neuromodulation, neural signal processing, neurotechnology development, computational and systems neuroscience, neural recording and stimulation technologies, wearable and implantable neural interfaces, and machine‑learning approaches for decoding brain activity.
Qualifications Candidates must hold a Ph.D. in Biomedical Engineering or a related field, or its professional equivalent, by the start date.
Applicants should demonstrate the potential for pioneering research and effective teaching at undergraduate and graduate levels.
Responsibilities
Develop an original, leading, and externally funded research program.
Contribute to the educational mission through teaching and mentorship.
Participate actively in Columbia's vibrant multidisciplinary research community.
Columbia Engineering fosters cross‑disciplinary collaborations across the University, including the Vagelos College of Physicians and Surgeons, the Data Science Institute, the Zuckerman Mind Brain Behavior Institute, the Irving Medical Center, and other departments within Columbia Engineering.
Columbia University is an Equal Opportunity Employer / Disability / Veteran.
Pay Transparency Disclosure The salary for the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting.
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