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.
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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 generate insights into how urban infrastructures can be enhanced through technology to serve vulnerable populations.
The position offers opportunities for multidisciplinary collaborations with other researchers at CITIES and allows for independent development of research ideas related to the broader mission of inclusive urban design and human-centered AI.
Location: Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates (On-site)
Work Conditions: Full-time
Qualifications:
- Bachelor’s degree in a quantitative field (e.g., computer science, engineering)
- Experience working on machine learning and/or robotics projects
- Excellent computational and data management skills
- Knowledge of programming frameworks such as Python, PyTorch, or TensorFlow
- An interest in accessibility, assistive technology, or smart cities is highly desirable
Application Requirements:
Applicants must submit a cover letter, a curriculum vitae, a statement of research interests, a transcript, and contact information for three references.
For inquiries, please email Professor Yi Fang at [email protected].
