Postdoctoral positions are available in the research group of Associate Professor Cathy Wu at the Massachusetts Institute of Technology. The group focuses on cutting-edge research in deep reinforcement learning, traffic modeling and control, and neural combinatorial optimization. The mission is to leverage artificial intelligence and machine learning to address challenging optimization problems and enable better, evidence-driven decisions in real-world sociotechnical systems.

Successful candidates will join a vibrant research environment and collaborate on projects that span AI, ML, optimization, and their applications to traffic systems and combinatorial problems. Applicants should have a PhD in computer science, mathematics, engineering, or a related field, with demonstrated expertise in relevant research areas. Strong programming and research skills are highly valued.

Applications are reviewed on a rolling basis, starting immediately. For more information and to apply, visit the provided application link. The position is based at MIT, a leading institution in the United States, and offers the opportunity to work at the forefront of AI and optimization research.