Post-doctoral Fellow in Educational Neuroscience and Machine Learning
The University of Hong Kong 's highest priorities are to create opportunities for the very best academic talents to excel and to advance human knowledge to the benefit of society. We serve the needs of Hong Kong, the wider region and the rest of the world.
Work type: Full-time
Department: Faculty of Education (10000)
Categories: Academic-related Staff
Applications are invited for appointment as Post-doctoral Fellow in Educational Neuroscience & Machine Learning in the Faculty of Education (Ref.: 504004), to commence on September 1, 2021 or as soon as possible thereafter, on a three-year temporary-term basis.
Applicants should possess a Ph.D. degree in neural computation and machine learning, cognitive neuroscience, neuropsychology, or a related field with a strong background in engineering, computation, or statistics, and skills in programming with Python or MATLAB. They are expected to be experts on electroencephalogram (EEG), functional near-infrared spectroscopy (fNIRS), or functional magnetic resonance imaging (fMRI). 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 https://web.edu.hku.hk/ and https://slrlab.edu.hku.hk/ respectively. Enquiries about the post should be sent to Dr. Shelley Tong at email@example.com.
A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.
The University only accepts online application for the above post. Applicants should apply online and upload a cover letter, an up-to-date C.V. with a recent publication list, and provide the contact information of three referees. Review of applications will start from June 18, 2021 and continue until the post is filled.