The Hong Kong University of Science and Technology (Guangzhou) – PhD in Advanced Interdisciplinary Doctoral Studies

University
The Hong Kong University of Science and Technology (Guangzhou)
Region
Hong Kong
Subject
Advanced Interdisciplinary Doctoral Studies
Intake
Spring and Fall
Duration
3 years (relevant research master's degree required)
Format
In person

Research Focus

The PhD programme in Bioscience and Biomedical Engineering focuses primarily on key areas such as the molecular and cellular mechanisms of living systems, biomaterials and tissue engineering, biomechanics and medical imaging, precision medicine and disease intervention, neuroscience and brain health engineering, and biomedical data science. The programme emphasises interdisciplinary approaches combining experimental biology, engineering technology, artificial intelligence and computational modelling to explore in depth the principles of biological processes, the mechanisms of major diseases, and the principles and applications of intelligent diagnostic and therapeutic technologies. Research priorities include AI-driven disease prediction and personalised treatment, intelligent medical image analysis, simulation of cell behaviour and tissue regeneration, optimisation of biomaterials and interfaces, advanced sensing and detection systems, and health data modelling and decision support, with the aim of advancing full-chain innovation from basic scientific discovery to the translation of intelligent medical technologies. The programme values multidisciplinary intersection, integrating life sciences, engineering sciences, information sciences and artificial intelligence technologies to provide systematic research support for the development of biomedical technology, the construction of intelligent health systems, and innovation in future precision medicine models.

Programme Structure and Funding

This programme is a full-time PhD programme: direct entry from bachelor’s degree to PhD / visiting study joint training opportunity at the University of Oxford. The programme adopts an all-English teaching and training system; supervisors may use Chinese in daily research communication and supervision. Duration: 3 years (requires holding a relevant research master’s degree); 4 years (no relevant research master’s degree required).

Entry Requirements

Study location: Guangzhou. Research PhD (including scholarship): full-time, tuition fee of RMB 40,000 per academic year.

Research PhD (self-funded): full-time/part-time, tuition fee of RMB 150,000 per academic year. Full-time PhD students may receive tuition remission and living subsidies for up to 4 years, which can fully cover expenses during doctoral study.

Spring intake: application deadline 26 December of the previous year. Autumn intake: application deadline 15 July of the same year.

·Academic background: a bachelor’s degree from a recognised institution with an outstanding academic record; or evidence of at least one year of full-time study, or at least two years of part-time study, at master’s level, both at a satisfactory level of study. GPA ≥ 3.0. ·Language requirements: TOEFL iBT ≥ 80; IELTS (Academic) overall ≥ 6.5 (with no individual component below 5.5). Refers to a single test sitting only; home test results are not accepted.

Applicants are not required to provide TOEFL or IELTS scores if: their first language is English; or they have obtained a bachelor’s degree (or equivalent) from an institution where the medium of instruction is English; or they have obtained a master’s degree (or above) from an institution where the medium of instruction is English.

Application Materials

  1. Valid mainland China identity card. 2) Academic CV. 3) Official transcripts and degree certificates. 4) The institution’s grading system (usually located on the back of the transcript or student handbook). 5) TOEFL/IELTS (Academic) score report; or an official letter confirming that you have obtained a bachelor’s degree from an institution where the medium of instruction is English. 6) Research proposal and past research experience, experience in participating in or owning research projects, proposed research topic and research plan. 7) 2–5 referees to support your application.

Career Prospects

Under systematic supervision by their supervisors, PhD students will gain an in-depth command of molecular and cell biology, tissue engineering, biomaterials, biomechanics, precision medicine, neuroscience, health data science and biomedical engineering technology, and will possess comprehensive research capabilities spanning life sciences, engineering, information sciences and medicine. Graduates have broad development prospects in the following areas: ● Universities and research institutions: engaging in research and teaching in bioscience, biomedical engineering, regenerative medicine, precision medicine and bioinformatics, becoming lecturers, assistant professors or independent research scholars at research universities.

● Research institutions and medical laboratories: engaging in basic scientific research, technology development, optimisation of experimental methods and medical application research at national or international research institutions, medical research centres and clinical laboratories. ● Biotechnology and medical industries: engaging in new drug R&D, medical device design, health data analysis, diagnostic and therapeutic technology development and technology translation at biopharmaceutical companies, medical device companies, health technology platforms or biotechnology start-ups.

● Data science and health information roles: engaging in professional roles such as data modelling, system optimisation and decision support in biomedical data analysis, computational biology, AI-assisted diagnosis and treatment, public health analysis and bioinformatics platforms. Through systematic academic training and interdisciplinary research, PhD students will acquire a solid theoretical foundation in life sciences and biomedical engineering, experimental skills and data analysis capabilities, and will develop independent research thinking, innovative design and interdisciplinary collaboration abilities, laying a solid foundation for development in academia, research, industry and the health technology sector.