The NYU Center for Urban Science + Progress (CUSP) at New York University is seeking two postdoctoral associates to join research teams focused on the future of smart cities. These positions are based at the NYU Tandon School of Engineering and are ideal for researchers interested in urban science, data management, governance, and community engagement. One position, supervised by Dr. Yuki Miura (Assistant Professor, CUSP and Mechanical and Aerospace Engineering) and Dr. Stefaan Verhulst (Research Professor, CUSP), will focus on data management and governance for smart cities, with a special emphasis on legal frameworks, privacy protections, and stakeholder engagement in smart city development. The second position, supervised by Dr. Graham Dove and Dr. Takahiro Yabe (Assistant Professors, CUSP and Technology Management & Innovation), will focus on developing and implementing protocols to understand and mitigate community concerns around trust and transparency in smart cities, particularly through innovative approaches to data generation and use. Applicants should have a PhD in a relevant field such as computer science, urban science, or information technology, and demonstrate strong research skills and an interest in interdisciplinary collaboration. Experience or interest in legal frameworks, privacy, stakeholder engagement, or community trust in smart cities is highly valued. These are fully funded postdoctoral associate positions at New York University, with a targeted start date in January. For more information and to apply, visit the provided Interfolio links. NYU CUSP is a leader in urban science, offering a vibrant research environment in the heart of New York City. Keywords: smart cities, data management, data governance, legal frameworks, privacy protections, stakeholder engagement, community trust, transparency, technology management, urban science.

The Climate, Energy, and Risk Analytics (CERA) Lab at NYU Tandon School of Engineering, led by Assistant Professor Yuki Miura, is recruiting fully-funded PhD students for Spring or Fall 2026. The lab focuses on developing AI-driven methods to understand, quantify, and mitigate climate and infrastructure risks, bridging physics, data science, and policy for real-world impact in collaboration with city stakeholders. Research areas include large language models (LLMs) for risk perception and financial signals, vision-language models (VLMs) for global exposure mapping, cascading impact and network modeling, and reinforcement learning for adaptation planning. Candidates should have strong quantitative skills and backgrounds in engineering, risk analysis, or data science. Successful applicants will receive full funding, including tuition, stipend, and health insurance. The application deadline is November 30, 2025. Interested candidates should review the provided PDF for detailed instructions and submit their applications before the deadline. The opportunity is ideal for students passionate about data-driven climate risk research and interdisciplinary collaboration.