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  • Postdoctoral Associate (Resource Allocation in Human-machine Systems)

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Postdoctoral Associate (Resource Allocation in Human-machine Systems)

IRG_M3S_T7_2026_002

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Posted on 02 April 2026
Group: M3S

Project Overview

The "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)" five-year project was initiated in July 2023. It is driven by the goal of investigating the nature of work, redefining our relationship with technology, and exploring how institutions can adapt to foster livability, sustainability, innovation, and social welfare.

Successful applicants will have the opportunity to work on cutting-edge projects that aim to develop state-of-the-art AI to create future smart cities. This Postdoctoral Associate position is for a two-year term under the M3S program at SMART. The SMART team seeks to advance the frontier of AI research, apply it to society and cities, and demonstrate the concrete social impacts of the AI algorithms with broad public acceptance in Singapore.

Responsibilities

-Collaborate with the project team and other researchers to design, implement, and evaluate research projects.

-Publish research results in top-tier journals and conferences and disseminate research findings through presentations and other means.

-Mentor graduate and undergraduate researchers and interns involved in related projects.

-Assist with grant writing, project management, and other administrative research duties.

-Perform other duties as needed. 

Requirements

-Ph.D. in Operations Research, Computer Science, Artificial Intelligence, Data Science, Industrial Engineering, Network Science, or a related field by the start of the appointment.

-Expertise 1: Experience with general methods in decision-making under uncertainty, including stochastic and robust optimization,  integer and combinatorial optimization, dynamic programming, and large-scale optimization; and/or

-Expertise 2: Experience with general methods in machine learning, including reinforcement learning, deep learning, generative AI, multimodal AI, statistical modeling, and network analysis.

-Experience in the integration of machine learning and decision-making.

-Strong publication record in top-tier conferences and journals.

-Excellent communication and collaboration skills.

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

 

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