Post-doctoral Fellow in Educational Neuroscience & Machine Learning

The University of Hong Kong
Hong Kong (HK)
November 03 2021
Other, Education
Position Type
Full Time
Organization Type

The University of Hong Kong

Post-doctoral Fellow in Educational Neuroscience & Machine Learning in the Faculty of Education (Ref.: 508757)

Applications are invited for appointment as Post-doctoral Fellow in Educational Neuroscience & Machine Learning in the Faculty of Education (Ref.: 508757), to commence on February 1, 2022 or as soon as possible thereafter, on a three-year temporary-term basis.

Applicants should possess a Ph.D. degree in cognitive neuroscience, neuropsychology, or a related field with a strong background in electroencephalogram (EEG), functional near-infrared spectroscopy (fNIRS), functional magnetic resonance imaging (fMRI), or neural computation, as well as skills in programming with Python or MATLAB.  They are expected to be experts in time-frequency analysis and/or single-trial analysis of EEG data.  In addition, they should have a knack for accuracy and attention to details; excellent interpersonal, organizational, analytical, and problem-solving skills; the ability to work independently and as part of a team, and the ability to prioritize and work under pressure.

The appointee will be responsible for EEG experiment design, implementation and data analyses, neural computation, and neural network implementation.  He/She is also expected to provide training to research postgraduate students on cognitive neural science, as well as to write and contribute to manuscripts.  He/She will work under the supervision of Dr. Shelley Tong.

Information about the Faculty, and the Speech, Language and Reading Lab can be obtained at and respectively.  Enquiries about the post should be sent to Dr. Shelley Tong at

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.

Applicants who have responded to the previous advertisement (Ref.: 504004) need not re-apply.

The University only accepts online application for the above post.  Applicants should apply online at the University’s careers site ( and upload a cover letter, an up-to-date C.V. with a recent publication list and the contact information of three referees including one from their Ph.D. supervisor/advisor, and provide one sample of a representative research output.  Review of applications will start from November 30, 2021 and continue until the post is filled.

The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency

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