PhD in Bioengineering
Hong Kong, Hong Kong
DURATION
3 up to 6 Years
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
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EARLIEST START DATE
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TUITION FEES
HKD 42,100 / per year **
STUDY FORMAT
On-Campus
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** per year
Scholarships
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Introduction
The Doctor of Philosophy (Ph.D.) Program in Bioengineering facilitates the close integration of biological, physical, and computational sciences and engineering in the study of biological processes. The programs adopt a systematic and quantitative approach to the study of biological systems. The aim is to provide students with the necessary knowledge to contribute to the biomedical industry as well as to optimize existing bioprocesses, and to develop new biomedical technologies. The Programs are managed by the Department of Chemical and Biological Engineering.
A candidate for a Ph.D. degree is expected to demonstrate mastery of knowledge in the chosen discipline and to synthesize and create new knowledge, making an original and substantial contribution to the discipline.
The multi-disciplinary Bioengineering Program allows students to apply the tools of engineering, computer science, and physical sciences to their study of biological processes. It addresses several major research foci and is supported by state-of-the-art research facilities.
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Admissions
Curriculum
Research Foci
Biological Information Engineering
Investigates issues associated with new computation concepts and tools involved in medical imaging. Research can also be extended to other data-driven areas, such as health analytics, bioinformatics, protein structure prediction, drug design, and systems biology.
Bioprocessing and BioProduct Design
The technology of bioprocessing, regulatory, safety, and ethical issues involved in biotechnology, and the systematic evolution of production processes using product characteristics to assist in "product-oriented" process design.
Biomaterials and BioMEMS
The engineering of physical and biological properties of synthetic polymers, metals, ceramics, and other materials, and their interaction with blood, soft and hard tissues; and the application of microelectromechanical systems to biological and bioanalytical methods, such as gene chips.
Quantitative Neuroscience and Neural Engineering
Mechanistic understanding of neuroscience from the molecular level (inside a single neuron cell) to a cellular level interpretation where interactions between signaling and transport molecules will be mapped; system-level understanding on how neural systems respond to an environmental stimulus; and how computations are done by neural systems.