Research Assistant
Prof. Yi Fang at the Center for Interacting Urban Networks, New York University Abu Dhabi, seeks to recruit a research assistant to support a project studying AI-powered smart assistive technologies for inclusive and accessible urban mobility.
The successful applicant will contribute to an interdisciplinary effort aimed at enhancing public safety and inclusivity in modern cities. In this role, the researcher will focus on the design, development, and field evaluation of AI-embedded systems to assist blind and low-vision individuals in navigating both outdoor and indoor urban spaces. The project's initial phase will employ machine learning models, computer vision algorithms, and real-time sensory integration to prototype tools such as SafeCross for safe street crossing and EasyPath for indoor navigation in malls, hospitals, and public institutions. This work will then generate insights into how urban infrastructures can be enhanced through technology to serve vulnerable populations. The position has many opportunities for multidisciplinary collaborations with other researchers at CITIES and beyond. Additionally, the position comes with the flexibility to independently develop research ideas related to the broader mission of inclusive urban design and human-centered AI.
The qualified candidate will have a bachelor’s degree in a quantitative field (e.g., computer science, engineering) with experience working on machine learning and/or robotics projects. This position requires excellent computational and data management skills and a knowledge of programming frameworks such as Python, PyTorch, or TensorFlow. Furthermore, an interest in accessibility, assistive technology, or smart cities is highly desirable.
For consideration, applicants must submit a cover letter, curriculum vitae, a statement of research interests, a transcript, and the contact information for three letters of reference who may be contacted through the selection process. If you have any questions, please email Professor Yi Fang at yfang@nyu.edu.
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