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JOB DETAILS

Postdoctoral Fellow(s) / Research Associate(s) (carrying the job title of 'Senior AI Research Scientist')

CompanyThe Chinese University of Hong Kong
LocationChina
Work ModeOn Site
PostedOctober 3, 2026
About The Company
A comprehensive research university with a global vision, The Chinese University of Hong Kong (CUHK) embraces internationalisation in its education and research, with a view to achieving excellence and gaining recognition for the University as a global leader. The first student exchange program at the University was launched in 1965 with the University of California system. Today, CUHK has formal partnerships with over 450 institutions around the world, ranging from teaching and research collaborations to faculty and student exchanges, apart from joining a number of international associations to facilitate academic exchange. Serving as its international relations arm, the Office of Academic Links (OAL) promotes and facilitates the internationalisation of CUHK in its research, teaching and learning programmes so as to seek recognition for the University as a leader on the global stage.
About the Role

The Center for Mathematical Artificial Intelligence (CMAI) is a research center under the Department of Mathematics and the Institute of Mathematical Sciences in CUHK. For the development and flourishment of forefront artificial intelligence technologies, we are committed to providing a platform on which various research scientists from different fields and areas can carry out research with rigorous mathematics.

CMAI is recruiting Post-doctoral Fellow(s) / Research Associate(s) to join an interdisciplinary research initiative focused on Mathematical Foundations of Autonomous Intelligence Agent. This project pioneers the development of next-generation self-motivated Vision-Language-Agent (VLA) models, with an emphasis on mathematical interpretability, causal reasoning, and physically-aware learning for real-world application.

Applicants should have (i) a Ph.D. in Mathematics, Computer Science, Statistics, Electrical Engineering, or a related discipline; (ii) demonstrated research expertise in one or more of the following areas: multimodal large models, causal inference, reinforcement learning, or mathematical foundations of deep learning; (iii) proficiency in Python and deep learning frameworks (e.g., PyTorch, Llama-Factory); (iv) excellent analytical, communication, and mentorship skills; (v) the ability to work independently and collaboratively in an interdisciplinary setting; and (vi) a strong publication record in top-tier AI/ML conferences or journals are a strong plus (e.g., NeurIPS, ICML, ICLR, CVPR).

Duties include (a) leading fundamental research on the mathematical interpretability of multimodal foundation models, including the analysis of attention mechanisms and latent representations; (b) investigating advanced topics in scene understanding, behavioral cognition, and causal inference within dynamic industrial environments; (c) developing novel methodologies for multimodal representation alignment, state prediction, and temporal dynamics modeling; (d) assisting in design and implement reinforcement learning strategies with mathematical guarantees for safety and efficiency; (e) collaborating with a multidisciplinary team to translate theoretical frameworks into practical, deployable AI systems; (f) publishing high-impact research in top-tier conferences and journals; and (g) mentoring junior researchers and contributing to grant writing and project reporting.

Appointment will initially be made on contract basis for up to two years, renewable subject to good performance and mutual agreement.

Applicants should submit a complete curriculum vitae with a full list of publications in the online application.

The University only accepts and considers applications submitted online for the post above via the CUHK career site. For more information and to apply online, please visit http://career.cuhk.edu.hk.
 

Key Skills
MathematicsComputer ScienceStatisticsElectrical EngineeringMultimodal Large ModelsCausal InferenceReinforcement LearningDeep LearningPythonPyTorchLlama-FactoryAnalytical SkillsCommunicationMentorshipScene UnderstandingBehavioral Cognition
Categories
Science & ResearchTechnologySoftwareData & AnalyticsEducation
Job Information
📋Core Responsibilities
The role involves leading fundamental research on the mathematical interpretability of multimodal foundation models and investigating advanced topics in scene understanding and causal inference. Additionally, the scientist will develop novel methodologies for representation alignment and mentor junior researchers while contributing to grant writing.
📋Job Type
full time
📊Experience Level
2-5
💼Company Size
5
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
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