Research Assistant I/II in the Department of Real Estate and Construction (Ref.: 526501) (to commence as soon as possible for six months, with the possibility of renewal subject to satisfactory performance and funding availability)
Applicants should possess a Bachelor’s and/or Master’s degree in Architecture, Civil Engineering, Construction Management, and other related subjects. They should have a strong interest in research related to modular buildings, generative design, and structural design, as well as interests and (preferably) experience in applying machine learning and optimisation models to architectural design. Skills in Rhino, Grasshopper, and other common parametric design software, in addition to skills in platform development software such as Unity and Figma are essential.
The appointee will assist in the “Generative DfX in high-rise modular building: An expert-augmented cascade graph learning and optimisation approach” research project under the Collaborative Research Fund (CRF) supported by the Research Grants Council (RGC). The appointee will be responsible for 1. assisting in developing generative design algorithm for structures of modular buildings; 2. assisting in developing interactive design platform; and 3. forming the results into a series of research papers.
What we offer
The appointee will gain excellent generative design, interactive design, platform development, data analytics, and academic writing experience from this post. The appointment will commence as soon as possible on a temporary basis for six months, with the possibility of renewal subject to satisfactory performance and funding availability. A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits, and free access to on-campus gyms and libraries.
How to apply
The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date CV, one representative design portfolio or writing sample (paper, dissertation, coursework), and a 100-word introduction of their current status and future plan. Inquiries should be sent to Mr. Ziyu Peng via ziyupeng@connect.hku.hk or Prof. Wilson Lu via wilsonlu@hku.hk.
Review of applications will commence as soon as possible and continue until June 30, 2024, or until the post is filled, whichever is earlier.
Applications close: June 30, 2024 (HK Time)
