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Postdoctoral Researcher
2 months ago
The Singapore-MIT Alliance for Research and Technology Centre (SMART) is seeking a highly motivated Postdoctoral Associate to join our team in the T5 project for the five-year M3S program. The successful candidate will have the opportunity to work on cutting-edge projects that aim to develop state-of-the-art AI to create future smart cities.
Project OverviewThe 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. 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.
Research FocusThe SMART-T5 project aims to develop innovative machine learning algorithms that nudge human activities to maximize the growth of social capital and the economy. We will employ techniques such as generative AI, multimodal AI, computer vision, and graph learning for city generation and prediction. Additionally, we will investigate how spatial-social networks influence economic growth using cutting-edge technologies, including network theory, deep learning, and causal machine learning.
Responsibilities- 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.
- 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 generative AI, multimodal AI, reinforcement learning, deep learning, statistical modeling, network analysis, and/or optimization, with a strong emphasis on generative AI, multimodal AI, and reinforcement learning.
- 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.
To apply, please visit our website at: https://www.smart.mit.edu/