Post-doctoral Fellow in the Department of Civil Engineering (Ref.: 527267), to commence as soon as possible for one year, with the possibility of renewal.
We now invite applications for the captioned post.
Duties and Responsibilities
The appointee will guide the development of a simulation platform and artificial intelligence-based algorithms to optimize elderly travel services. This will involve overseeing the design and implementation of a recommendation algorithm, an elderly travel route optimization algorithm, and a transfer service for elderly and disabled passengers. The appointee will also guide the development of a mobile app for the service. The appointee is expected to have strong programming skills (Python, Java, HTML and JavaScript) and good knowledge of optimization approaches and artificial intelligence, especially reinforcement learning models. The appointee is also expected to start new projects once new research funding is secured by the team.
Enquiries about the duties of the post should also be sent to Dr. Jintao Ke at kejintao@hku.hk. Descriptions of Dr. Ke can be found at https://sites.google.com/view/kejintao.
Requirements
Applicants should have a Ph.D. in Transport Engineering, Computer Science, Industrial Engineering, Urban Studies or related fields, with a strong track record in the following: refereed publications in transport, artificial intelligence, operations research, urban studies/planning; advanced skills in transport simulations, machine learning, and optimization; as well as experience in co-authoring and managing competitive research grants. Applicants should also have the ability to manage own academic research and meet defined milestones on time with an understanding of transportation simulations and optimizations.
What We Offer
The appointment will commence as soon as possible on a temporary basis 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. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries.
How to Apply
The University only accepts online application for the above post. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until January 31, 2025, or until the post is filled, whichever is earlier. Shortlisted candidates will be invited to attend an interview.
About Dr. Jintao Ke
Dr. Jintao Ke is an Assistant Professor in the Department of Civil Engineering at the University of Hong Kong (HKU). Dr. Ke received his B.S. degree (2016) in civil engineering from Zhejiang University, and his PhD degree in Transportation Engineering from the Hong Kong University of Science and Technology under the supervision of Prof. Hai Yang. His research interests include smart transportation, smart city, urban computing, shared mobility, machine learning in transportation, operational management for transportation studies, etc. Prior to joining HKU, he has conducted research, studied, and taught at Didi Chuxing Big Data Research Institute, the University of Michigan, and the Hong Kong Polytechnic University. Dr. Ke has published over 40 SCI/SSCI indexed research papers in top-tier journals such as Transportation Research Part A/B/C/D/E, IEEE TKDE, and IEEE TITS with over 4000 citations. He has been recognized as a top 2% scientist globally by Stanford University. He currently serves as an Editorial Board Member of Transportation Research Part C, Transportation Research Part E and Travel Behaviour and Society.
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