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The Department of Biomedical Engineering has assembled a core of renowned faculty from multiple disciplines in the Tandon School of Engineering and the NYU School of Medicine, augmented by associated faculty from across NYU’s schools and colleges and the NYU Global Network. Students within the Ph.D. degree programs engage in research leading to new engineering approaches and technologies to promote and enhance human health. In the laboratories of faculty members who are among the most accomplished authorities in the field, these students will acquire all of the necessary skills and expertise to become leaders in biomedical engineering in their own right.
Students engage, for example, in projects that look to develop new medical imaging devices and state-of-the-art medical data analysis. This includes the use of artificial intelligence (AI) and deep learning to improve diagnostic capabilities in oncology, ophthalmology, neurology, and orthopedics. Students are also involved in designing devices to separate, analyze, and modulate the behavior of single cells for disease models and diagnostic tests, and creating synthetic chromosomes. Collaboration with faculty in Electrical and Mechanical Engineering includes innovative research on wearable electronics that can be used to monitor disease onset and progression at home on a daily basis.
The state-of-the-art research taking place in the department is supported by engineering strengths in medical imaging, signal processing and analysis, modeling and control of complex living/non-living systems, big data management and visualization, design of microfluidic devices, biomaterials, control and modulation of cellular behavior, biomechanics, and systems biology.
Programme overview
Degree
PhD
Study Level
PHD
Study Mode
On Campus
The Department of Biomedical Engineering has assembled a core of renowned faculty from multiple disciplines in the Tandon School of Engineering and the NYU School of Medicine, augmented by associated faculty from across NYU’s schools and colleges and the NYU Global Network. Students within the Ph.D. degree programs engage in research leading to new engineering approaches and technologies to promote and enhance human health. In the laboratories of faculty members who are among the most accomplished authorities in the field, these students will acquire all of the necessary skills and expertise to become leaders in biomedical engineering in their own right.
Students engage, for example, in projects that look to develop new medical imaging devices and state-of-the-art medical data analysis. This includes the use of artificial intelligence (AI) and deep learning to improve diagnostic capabilities in oncology, ophthalmology, neurology, and orthopedics. Students are also involved in designing devices to separate, analyze, and modulate the behavior of single cells for disease models and diagnostic tests, and creating synthetic chromosomes. Collaboration with faculty in Electrical and Mechanical Engineering includes innovative research on wearable electronics that can be used to monitor disease onset and progression at home on a daily basis.
The state-of-the-art research taking place in the department is supported by engineering strengths in medical imaging, signal processing and analysis, modeling and control of complex living/non-living systems, big data management and visualization, design of microfluidic devices, biomaterials, control and modulation of cellular behavior, biomechanics, and systems biology.
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Biomedical Engineering, Ph.D.
Programme overview
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Students engage, for example, in projects that look to develop new medical imaging devices and state-of-the-art medical data analysis. This includes the use of artificial intelligence (AI) and deep learning to improve diagnostic capabilities in oncology, ophthalmology, neurology, and orthopedics. Students are also involved in designing devices to separate, analyze, and modulate the behavior of single cells for disease models and diagnostic tests, and creating synthetic chromosomes. Collaboration with faculty in Electrical and Mechanical Engineering includes innovative research on wearable electronics that can be used to monitor disease onset and progression at home on a daily basis.
The state-of-the-art research taking place in the department is supported by engineering strengths in medical imaging, signal processing and analysis, modeling and control of complex living/non-living systems, big data management and visualization, design of microfluidic devices, biomaterials, control and modulation of cellular behavior, biomechanics, and systems biology.
Programme overview
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Students engage, for example, in projects that look to develop new medical imaging devices and state-of-the-art medical data analysis. This includes the use of artificial intelligence (AI) and deep learning to improve diagnostic capabilities in oncology, ophthalmology, neurology, and orthopedics. Students are also involved in designing devices to separate, analyze, and modulate the behavior of single cells for disease models and diagnostic tests, and creating synthetic chromosomes. Collaboration with faculty in Electrical and Mechanical Engineering includes innovative research on wearable electronics that can be used to monitor disease onset and progression at home on a daily basis.
The state-of-the-art research taking place in the department is supported by engineering strengths in medical imaging, signal processing and analysis, modeling and control of complex living/non-living systems, big data management and visualization, design of microfluidic devices, biomaterials, control and modulation of cellular behavior, biomechanics, and systems biology.
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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