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Postdoc Fellow / Senior Research Assistant in Learning Design and Learning Analytics

University of Hong Kong has an opening postdoctoral position. The deadline to apply is November 30, 2019.

Applications are invited for appointment as Post-doctoral Fellow / Senior Research Assistant in Learning Design and Learning Analytics in the Faculty of Education (Ref.: 498323), to commence as soon as possible until June 30, 2020.

Applicants should possess a Ph.D. degree in Education, Instructional Design or related fields, with specific focus on e-learning, e-learning pedagogy, learning technology design and/or teacher professional development for e-learning/e-assessment innovations. Demonstrated ability in academic writing, evaluation of educational innovation, and/or experience in research project management would be a clear advantage. Applicants with a Master's degree in related fields may be considered for appointment as Senior Research Assistant.

The appointee will play a key role in the project "An Open Learning Design, Data Analytics and Visualization Framework for E-Learning", which is an inter-institutional collaborative research project involving researchers from The University of Hong Kong, The Hong Kong University of Science and Technology and Massachusetts Institute of Technology. He/She will work under the supervision of Professor Nancy Law and is expected to contribute to the development of learning and assessment design models and tools that guide and support e-learning course design and the advance planning of specific learning analytics and feedback. Courses on computational thinking (K-12 and higher education) will be a core focus for this research project.

Information about the Faculty can be obtained at https://web.edu.hku.hk/. Enquiries about the post should be sent to Professor Nancy Law, Faculty of Education at nlaw@hku.hk.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income.

Applicants who have responded to the previous advertisement (Ref.: 496904) need not re-apply.

The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until the post is filled.


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