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Post-doctoral Fellow in Educational Neuroscience & Machine Learning

Pok Fu Lam, Hong Kong
Closing date
29 Feb 2024

Work type: Full-time
Department: Faculty of Education (10000)
Categories: Senior Research Staff & Post-doctoral Fellow, Teaching Staff

We now invite applications for the captioned post.

Duties and Responsibilities

The objective of this post is to offer interdisciplinary training to individuals interested in utilizing  cognitive neuroscience and machine learning techniques to study learning, cognitive functioning,  language processing, and reading acquisition.  Candidates will conduct EEG)research on implicit statistical learning and language processing, perform EEG data analyses, and neural computation and collaborate with in-house researchers on analyzing EEG and behavioral data.  Additionally, training will be provided on manuscript and grant writing.  He/She will work under the supervision of Professor Shelley Xiuli 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 Professor Shelley Tong at


Applicants should possess a Ph.D. degree in cognitive neuroscience, neuropsychology, or a related field with a strong background in 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 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.

What We Offer

The appointment will commence as soon as possible on a temporary basis for 19 months. A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries.

How to 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 as soon as possible and continue until February 29, 2024, or until the post is filled, whichever is earlier.

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