HKU Professoriate Recruitment (Architecture) (BB-31201)
Found in: beBee S - Bran Castle
The University of Hong Kong (HKU) is pleased to invite outstanding scholars to contribute to our thriving research agenda as well as to Hong Kong's leading position in the region and beyond.
We will recruit 100 outstanding academics in emerging fields with potential for scientific and scholarly breakthroughs above and beyond our existing recruitment programme to join HKU as assistant, associate, or full professors, on tenure-track or with direct tenure.
This is an open-discipline call. Strategic recruitment areas in the Faculty of Architecture include the following:
Sustainable Architectural Design
Environmental Design Science
Sustainable Architectural Design Technology
Smart Materials and Fabrication
Architectural History and Theory
Landscape Science and Technology
Sustainable Landscape Design
Property Technology (PropTech)
Construction Management Technology
Urban Design Analytics and Data Science
Healthy Cities, Health and Wellbeing
Smart Cities and Future Cities
Urban Simulation, Machine Learning and Geospatial Modelling
Climate Change, Urban Resilience and Environmental Sustainability
Urban and Regional Economics
Innovative Governance, Entrepreneurship and Leadership
As a high-performing university with internationally recognised strong global connections, HKU offers a stimulating and supportive intellectual environment as well as a highly competitive remuneration and benefits package. Locally and in the region, there are many research collaboration and funding opportunities.
For more information, visit ). Applicants are encouraged to apply by Jan 31, 2021 to ensure earlier consideration, but the search will continue until positions are filled. To apply online, please complete applications with a cover letter, curriculum vitae, research statement, teaching statement, 2 or 3 most significant research publications, and contact information for at least three references. We will start reviewing applications in late November, 2020 and invite outstanding candidates for interviews thereafter.
Category: Data Science
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