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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

Artificial Intelligence (AI) related fields, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving

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Multiple post-doc positions are available in the Dynamical Systems Laboratory (DSL) at the Center for Urban Science and Progress, Tandon School of Engineering, New York University, in a wide variety of research projects that are signature scopes of our multidisciplinary research group. The positions are fully funded with a competitive salary.

We seek independent, motivated, and creative individuals to conduct fundamental research in the theory and application of complex systems. Candidates will make important contributions to one or multiple research projects supported by our several ongoing grants (see DSL: Active Projects). In particular, our research at CUSP seeks to elucidate the causes of
firearm-related harms in cities, understand human mobility patterns on different scales (such as commuting and migration), develop robotic-based assistive technologies for the visually impaired to navigate urban environments, and assist communities in the aftermath of natural disasters through bio-inspired solutions.

We are seeking individuals with

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The Princeton Materials Institute (PMI) at Princeton University (https://materials.princeton.edu) invites applications for a tenure-track appointment at the Assistant Professor level in the general area of materials science and engineering, with a start date as early as September 1, 2026.  We encourage outstanding candidates from a broad range of backgrounds and disciplines in engineering and the natural sciences to apply.  The successful candidate will be jointly appointed between PMI and the academic department at Princeton best aligned with the candidate’s work.

All research areas within materials science and engineering are within the scope of this search, including but not limited to:  materials processing, mechanics of materials, and the development of advanced experimental materials characterization techniques.  The successful candidate will have a Ph.D. in a relevant science or engineering discipline, demonstrated excellence in academic research, and a strong commitment to teaching and mentoring undergraduate and graduate

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