Postdoc Fellow Building Information Modelling, Urban Big Data Analytics, International Construction
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: Department of Real Estate and Construction (01200)
Categories: Academic-related Staff
Applications are invited for appointments as Post-doctoral Fellow (3 posts) in (i) Building Information Modelling (BIM), (ii) Urban Big Data Analytics, and (iii) International Construction in the Department of Real Estate and Construction (Ref.: 494117) of the Faculty of Architecture, to commence on May 1, 2019 or as soon as possible thereafter, for a period of two years.
For post (i), applicants should possess a Ph.D. degree in the field of Construction, Architectural or Civil Engineering, Construction Management, or other related disciplines. They should have proficiency in written and spoken English, comprehensive and in-depth knowledge and vision of digital solutions used in BIM across the sector value chain (architecture, civil engineering, informatics, and stakeholders’ interaction), a track record of research dissemination including peer-reviewed publications, and the ability to work independently and as a team. Those with experience in managing multidisciplinary research projects, and a track record of publication in BIM, smart construction, or related research areas are preferred. The appointee will assist in planning, managing, coordinating, and implementing research projects in the field of BIM within the University and internationally, including drafting reports, manuscripts, and research grants applications, and conducting research and development (R&D) with the professional sector and authorities. He/She will be responsible for supervising Research Assistants and perform other relevant tasks as assigned.
For post (ii), applicants should possess a Ph.D. degree in Construction Information Technology, Civil Engineering, or a relevant discipline. Expertise in construction automation and robotics, machine learning, building information modelling, urban systems simulation, or urban knowledge engineering is desirable. The appointee will pursue research in areas related to urban big data analytics, digital twin city, behavioral analysis and monitoring for urban systems, or smart city applications. Applicants who are in the process of completing a Ph.D. degree in Construction Information Technology, Civil Engineering, or a related discipline will also be considered.
For post (iii), applicants should possess a Ph.D. degree in Construction Management, Strategic Management, International Business, Organisational Studies, or other related disciplines. Sound knowledge of literature relevant to corporate social responsibility (CSR) and business ethics is desirable. They should have proficiency in written and spoken English; excellent problem-solving skills; good understanding of the advanced quantitative and qualitative statistical analyses; proficiency in statistical software, such as Eviews, SPSS, R programming, and Python; and the ability to work independently and as a team. The appointee will pursue research in areas related to CSR in international construction, strategies in international construction markets, or other related research realms. He/She will also be responsible for supervising Research Assistants and perform other relevant tasks as assigned.
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 posts. Applicants should apply online and upload and an up-to-date C.V. including a publication list and a cover letter. Enquires can be sent to Dr. Wilson Lu (e-mail: firstname.lastname@example.org). Review of applications will commence as soon as possible and continue until April 30, 2019, or until the posts are filled, whichever is the earlier.