We envision a mobile cyber-physical system where people carrying mobile sensors (e.g., smartphones, smartcards) generate large amounts of trajectory data that is used to sense and monitor human interactions with physical and social environments. We seek to develop a causal artificial intelligence (AI) methodology to analyze and model human mobility behavior dynamics (decision-making) using individual travel trajectory data, and importantly develop the causal diagrams of human mobility behavior under disturbances that could help design effective strategies for sustainable and resilient urban mobility systems.
We are looking for a highly-qualified and motivated postdoc in getting hands-on research experience in the area of Transportation Behavior and Artificial Intelligence. The postdoc will join a research team at the Division of Transport Planning. The postdoc develops the causal AI methodology and mobility behavioral graph under interventions, works closely with the researchers specialising in mathematics, causal inference, machine learning, data analytics and transportation science.
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KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy. Read more hereType of employment: Temporary position
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