Postdoctoral Associate (Resource Allocation in Human-machine Systems)
SINGAPORE-MIT ALLIANCE FOR RESEARCH AND TECHNOLOGY CENTRE
Singapore, Singapore
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Phd in operations research or computer science
Expertise in integer and combinatorial optimization
Experience with reinforcement learning and deep learning
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The Singapore-MIT Alliance for Research and Technology Centre is seeking a Postdoctoral Associate for a five-year project focused on the integration of AI in human-machine systems to enhance smart city operations. The ideal candidate will have a Ph.D. in relevant fields, experience with decision-making under uncertainty, and strong collaboration skills to work on cutting-edge AI applications.
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Job Summary
The position involves advancing the frontier of AI research to solve complex scheduling and resource allocation challenges in smart cities and robotic fleet management.
Successful candidates will work closely with leading professors from MIT, Singapore Management University, and National University of Singapore on cutting-edge projects.
The role requires designing scalable, real-time decision-making systems that balance operational performance with user-centric outcomes like passenger experience and service responsiveness.
Matching Summary
Match Score: 75
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The Singapore-MIT Alliance for Research and Technology Centre is seeking a Postdoctoral Associate for a five-year project focused on the integration of AI in human-machine systems to enhance smart city operations. The ideal candidate will have a Ph.D. in relevant fields, experience with decision-making under uncertainty, and strong collaboration skills to work on cutting-edge AI applications.
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Skills & Requirements
Must-have
PhD in Operations Research or Computer Science
Expertise in integer and combinatorial optimization
Experience with reinforcement learning and deep learning
Strong publication record in top-tier venues
Integration of AI and decision-making methodologies
Nice-to-have
Experience with generative AI techniques
Knowledge of digital twin simulations
Collaboration with multidisciplinary research teams