Project Overview

The "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)" project 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 and apply state-of-the-art AI to create future smart cities. The Postdoctoral Associate is in the T4 project for the five-year M3S program in 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.

Specifically, this project aims to integrate cutting-edge AI with classical dynamic behavioral models to optimize human capital development. Successful candidates will collaborate with Singaporean educational institutions like SMU Academy and Mendaki to empower local communities through education and professional advancement. The project’s objective is to develop AI-assisted career and education recommendation systems for specific student groups, enabling informed decisions on education and skill development to foster lifelong learning among Singaporeans. It also helps employers design remote work policies to promote work engagement, and guides government agencies to support workers through workforce training.

The SMART-T4 team is led by distinguished scholars, i.e., Professor Jinhua Zhao and Professor Alex "Sandy" Pentland from MIT, Professor Archan Misra from Singapore Management University, and Professor Shenhao Wang from University of Florida. You can contact Dr. Yunhan Zheng (yunhan.zheng@smart.mit.edu) and Professor Shenhao Wang (shenhaowang@ufl.edu) for further information.

Job Description

• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Publish research results in top-tier conferences and journals, and disseminate research findings through presentations and other means.
• Participate in the mentorship and training of graduate and undergraduate students at MIT and in Singapore.
• Assist in grant writing, project management, and other administrative duties related to research activities.
• Perform other duties as needed.

Job Requirements

• Ph.D. in Computer Science, Artificial Intelligence, Transportation Engineering, Operation Research, Computational Social Science, Network Science, Civil Engineering, Economics, Statistics, Urban Planning, Industrial Engineering, or a related field by the start of the appointment.
• Experience in deep learning, reinforcement learning, statistical modeling, network analysis, and/or optimization.
• Experience in behavioral/economic models, urban mobility, and their integration with AI.
• 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.