HKUST (Guangzhou) hiring AI researchers

HKUST (Guangzhou) is hiring into a cluster of AI-and-city research areas that sits at the intersection of spatial computing, urban data and applied machine learning. University and faculty pages show openings tied to 3D GIS, city information modeling, digital twins, urban computing and spatiotemporal analytics, with roles spanning PhD, MPhil, research assistant, postdoctoral and visiting-student tracks. (fytgs.hkust-gz.edu.cn) The hiring push is not framed as a single corporate-style requisition. Instead, it appears through faculty lab openings, graduate-program pages and university admissions material that together show how HKUST (Guangzhou) recruits researchers into specific labs and thrust areas. (fytgs.hkust-gz.edu.cn) A recent faculty profile for Maosu Li, an assistant professor in the Urban Governance and Design Thrust, says his research focuses on “AI + 3D GIS-based Smart City Applications,” including 3D city information modeling, machine learning, and data management and analysis. The result is a useful signal for anyone tracking where smart-city hiring is actually happening: not just in municipal tech vendors, but inside university labs building the methods and data systems those projects depend on. (maosuli.github.io) ### Where are these roles actually sitting inside HKUST (Guangzhou)? HKUST (Guangzhou) organizes research through hubs and thrust areas rather than traditional departments, and the most relevant home here is the Society Hub’s Urban Governance and Design Thrust. A public 2026 postdoctoral listing for that thrust advertises a 3D scene-modeling role and identifies the unit as UGOD at HKUST (Guangzhou). (maosuli.github.io) Faculty pages and project pages show the same research vocabulary surfacing across the campus. Maosu Li’s profile explicitly links AI with 3D GIS smart-city applications, while a data-science project page describes work on spatiotemporal data management and smart applications. That matters because the phrase “smart city” can be vague. Here, the published research language is more concrete: 3D scene modeling, city information modeling, data management, machine learning and spatial-temporal applications. ### What kinds of candidates does this recruitment appear to target? (gaoxiaojob.com) The clearest pattern is interdisciplinary technical training. The 2026 UGOD postdoctoral listing references computer science and remote sensing among the relevant disciplines, while Juan Du’s IDADM lab says it welcomes students and researchers from engineering, statistics and computer science. (maosuli.github.io) Those published requirements line up with the skills implied by the research itself. A candidate coming from GIS, AI or machine learning, remote sensing, spatial statistics, urban informatics or related data-heavy fields would fit the methods described on the relevant pages, even when the exact wording differs by lab. (maosuli.github.io) For prospective applicants, the practical takeaway is that HKUST (Guangzhou) is recruiting less by narrow job title than by research fit. ### Which tracks are open besides a straight PhD? Juan Du’s lab openings page lists visiting Ph.D. students or professors, Ph.D. students, postdocs and research assistants. (gaoxiaojob.com) The university also runs a formal Visiting Research Student mechanism for students from other institutions who want to spend one to six months doing research at HKUST (Guangzhou). HKUST (Guangzhou) also operates the Red Bird MPhil Program, which the university describes as a Master of Philosophy program designed to cultivate interdisciplinary and entrepreneurial talent. (maosuli.github.io) That gives applicants another route into labs working on adjacent topics, even when a faculty page is primarily advertising PhD or postdoctoral roles. So the recruitment ladder here is broad: short-term visiting research, RA roles, MPhil, PhD and postdoc. ### How much funding is publicly listed? HKUST (Guangzhou)’s graduate school says its Postgraduate Studentship pays CNY 15,000 per month for full-time PhD students for up to four years, and CNY 10,000 per month for full-time MPhil students for up to two years. (personal.hkust-gz.edu.cn) Juan Du’s lab page gives a similar order of magnitude from the lab side, stating a PhD scholarship of 720,000 yuan over four years, depending on qualifications and performance. (hkust-gz.edu.cn) Those figures help explain why the opportunity is drawing attention online: the funding is explicit, and it is attached to a research area that cuts across AI, digital twins and urban systems. ### What do applicants actually have to submit? HKUST (Guangzhou)’s admissions page says research-postgraduate applicants should prepare transcripts, degree documents, a proposed research plan and information on past research experience, along with academic references and other standard materials. (fytgs.hkust-gz.edu.cn) Lab-specific pages can add email-based screening before the formal application. (personal.hkust-gz.edu.cn) Juan Du’s group asks interested applicants to send materials such as a CV, transcripts, research proposal or research interests, and papers by email, while also advising PhD candidates to apply through the university’s official system. For visiting researchers, the university says the first step is to identify a thrust area and secure agreement from an HKUST (Guangzhou) faculty member before filing the online application. (fytgs.hkust-gz.edu.cn) ### Where does this sit in the wider smart-city research push? HKUST’s broader smart-city ecosystem is already established on the Hong Kong side through the GREAT Smart Cities Institute, which says it focuses on technology, training, policy guidance and collaborative projects for future urban environments. At the Guangzhou campus, the faculty and lab pages suggest the emphasis is more methodological and research-driven: 3D city modeling, spatial-temporal data systems, machine learning and application-building inside urban contexts. (personal.hkust-gz.edu.cn) The next step for candidates is straightforward. (fytgs.hkust-gz.edu.cn) The relevant faculty pages and HKUST (Guangzhou) admissions portals are already live, and the visiting-student and graduate application routes are published on the university’s website. (maosuli.github.io) (gsc.hkust.edu.hk)