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PhD Projects, Programmes & Scholarships in Rochester
We have 10 PhD Projects, Programmes & Scholarships in Rochester
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Astrophysical Sciences and Technology Ph.D.
This multidisciplinary program is administered by the School of Physics and Astronomy, in collaboration with the School of Mathematical Sciences and the Chester F. Read more
Mathematical Modeling Ph.D.
Mathematical modeling is the process of developing mathematical descriptions, or models, of real-world systems. Read more
Microsystems Engineering Ph.D.
The multidisciplinary doctorate degree in microsystems engineering builds on the fundamentals of traditional engineering and science combined with curriculum and research activities addressing the numerous technical challenges of micro- and nano-systems. Read more
Mechanical and Industrial Engineering Ph.D.
The mechanical and industrial engineering doctorate program produces graduates with a depth of knowledge in mechanical or industrial engineering while allowing students to engage in cutting-edge, cross-disciplinary research. Read more
Sustainability Ph.D.
The Ph.D. in sustainability fosters innovation and creativity in solving real-world challenges within social, economic, technological, and business realms. Read more
Electrical and Computer Engineering Ph.D.
Offered jointly by the department of electrical and microelectronic engineering and the department of computer engineering, students in RIT’s Ph.D. Read more
Color Science Ph.D.
Color has been an intense topic of interest for thousands of years. Mathematicians, philosophers, physicists, physiologists, poets, and other disciplines have all contributed to our understanding of color. Read more
Business Administration Ph.D.
The Ph.D. in business administration is designed to inspire and train scholars to identify, investigate, and solve novel business challenges that influence business and society, particularly, those that are triggered by technological changes. Read more
Artificial Intelligence - Computer Vision
Our research efforts aim to understand the nature of visual perception so that we can create more visually intelligent machines. This is enabled via fundamental concepts in reasoning, prediction, supervised, semi-supervised and unsupervised learning, and stochastic optimization techniques. Read more
Imaging Science PhD
The Ph.D. in imaging science signifies high achievement in scholarship and independent investigation in the diverse aspects of imaging science. Read more
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