Prof. Yi Fang at the Center for Interacting Urban Networks, the company, is seeking 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 initial phase of the project 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 enhancing urban infrastructures through technology to serve vulnerable populations. The position offers opportunities for multidisciplinary collaborations with other researchers and the flexibility to develop research ideas related to inclusive urban design and human-centered AI.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
Location: Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates (On-site)
Employment Type: Full-time
Qualifications:
- Bachelor's degree in a quantitative field (e.g., computer science, engineering)
- Experience with machine learning and/or robotics projects
- Excellent computational and data management skills
- Knowledge of programming frameworks such as Python, PyTorch, or TensorFlow
- Strong interest in accessibility, assistive technology, or smart cities (highly desirable)
Application Requirements:
Applicants must submit:
- A cover letter
- Curriculum vitae
- A statement of research interests
- A transcript
- Contact information for three references
For inquiries, please email Professor Yi Fang at [email protected].
Language Requirements: Proficiency in English is expected.
Employer Information: the company is a degree-granting research university that promotes a vibrant and globally recognized knowledge hub for urban networks, aiming to foster sustainable, resilient, and equitable cities.
