THE UNIVERSITY OF HONG KONG

Post-doctoral Fellow in Learning Design and Learning Analytics

Location
Pok Fu Lam, Hong Kong
Posted
14 Jun 2019
End of advertisement period
12 Jul 2019
Ref
496904
Academic Discipline
Social Sciences, Education
Contract Type
Permanent
Hours
Full Time

Work type: Full-time
Department: Faculty of Education (10000)
Categories: Academic-related Staff

Applications are invited for appointment as Post-doctoral Fellow in Learning Design and Learning Analytics in the Faculty of Education (Ref.: 496904), to commence on August 1, 2019 or as soon as possible thereafter 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.

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.

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 July 12, 2019, or until the post is filled, whichever is earlier.