We welcome individuals with undergraduate training in experimental psychology, neuroscience, computer science, biomedical engineering, mathematics, and physics to apply for our highly interdisciplinary doctoral programs in Neuroscience for Education. Individuals who are currently working as IT technologists, educators, and policy makers are particularly welcome.
Our doctoral programs are distinct from most other neuroscience laboratories in their definitive focus on real world educational challenges and engagement of educators, policy makers, parents, and technology developers in all stages of the research and development. Our programs are designed to make neuroscience relevant to education from the start of the research projects. Our training has a strong emphasis on mobile, portable, and classroom/home friendly brain imaging techniques and skills.
What is the difference between EdD and PhD?
The PhD program has a stronger theoretical focus and has fellowship support that is highly competitive. This program is ideal for those who wish to build a research career in either academic or industry setting.
The EdD program has a stronger applied focus and is self-sponsored. This program is designed for experienced school principals, educational policy makers, and technologists from computer and information technology companies who can take full or part time off to rejuvenate their own career or revitalise their companies’ existing products.
Ideal candidates will possess some of the following qualities or experiences:
- Training in electrical and computer engineering
- Training in cognitive neuroscience
- Training in behavioral sciences
- Extensive Matlab programming experience
- Experience in signal processing and pattern classification
- Experience in brain-computer interface
- Experience in computational neuroscience research
Areas of study
Research and development in neuro-technology for education
Fundamentals of cognitive neuroscience, current issues in neuroscience and education, imaging the brain using EEG, imaging the brain using fNIRS, imaging the brain in the real world (classrooms and homes), imaging the brain during dyadic interactions, gamification of learning powered by neuro-technology, learning enhancement through real-time neuroimaging, evaluation of teaching via neuro-technology, research design and statistics in neuroscience for education, advanced statistical analysis for neural and behavioural data, machine learning in neuroscience for education.
Applied neuroscience for educators
Application of neuroscience to Chinese language and literature education, application of neuroscience to English education, the bilingual brain, neuroscientific investigation of natural reading and writing of Chinese, the Chinese poetic brain, the singing brain, the dancing brain, application of neuroscience to music education, application of neuroscience to math education, application of neuroscience to physics education, application of neuroscience to chemistry education, shaping the brain and mind with meditation.
Applied neuroscience for parents
The developing brain and mind, impact of early life environment, the good stress in development, re-thinking the role of the mother, immunizing for change and uncertainty, mechanisms of learning across development.
Applied neuroscience for policy makers
The anatomy of neuro-myths, the neuroscience of poverty, the neuroscience of discrimination, the neuroscience of values and beliefs, the neuroscience of resilience.
Applicants are encouraged to make an informal application by submitting the following items to Prof. Akaysha Tang (firstname.lastname@example.org) and Dr Guang Ouyang (email@example.com). Formal application and instructions can be submitted here. Faculty of Education has additional requirement.
iii. Cover letter stating your relevant experience and why you are interested in the position
iv. 3 sample writings (e.g. lab reports, term papers), preferably related to science
v. Names and contact information of 3 referees who know you well
The Doctoral Programs in HKU have two deadlines:
First-round clearing (HKPF): December 1st.
Second-round clearing: April 30th.