Post-doctoral Fellow in Computational Urban Modelling

Applications are invited for appointment as Post-doctoral Fellow in Computational Urban Modelling in the Department of Urban Planning and Design (Ref.: 527423).

Duties and Responsibilities

The appointee will pursue both theoretical and empirical investigations into a multi-scale modelling framework for understanding and predicting urban systems evolution with regards to population and economic activities. He/She is expected to possess a strong technical background in land-use/transport simulations, including model development (e.g. cellular automata, agent-based models and computable general equilibrium framework) and short-/long-term forecasting.

The appointee will join and contribute to the Department of Urban Planning and Design. To forge a technology–policy nexus, the appointee is expected to assist in developing and testing the multi-scale urban systems framework in the twin cities of Hong Kong and Shenzhen.

Requirements

Applicants should possess a Ph.D. degree in urban data science, transport modelling, spatial analysis, statistical physics, urban planning, geography, or other related fields. He/She should have an excellent track record in publishing in high-ranked journals and working in an interdisciplinary team. Experience in computer modelling and an understanding of programming language appropriate for the development of computable urban systems model (including statistical methods) would be needed.

Shortlisted candidates will be invited to attend an interview. Enquires about the post can be sent to Professor Tianren Yang (e-mail: [email protected]).

What We Offer

The appointment will commence as soon as possible for one year, with the possibility of renewal subject to satisfactory performance and funding availability. 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.

How to Apply

The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date CV, a cover letter/statement of interest and a representative publication. Review of applications will commence as soon as possible and continue until Oct 31, 2024, or until the post is filled, whichever is earlier.