Research Fellow, Intelligent Drone Interfaces (School of Computing) - Geylang
Company description:
The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore
Job description:
Job Description
The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society.We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems and Analytics
The Research Fellow will be responsible for working closely with the Principal Investigator (A/Prof Suranga Nanayakkara). He/She will work in the area of Intelligent Drone Interfaces. This include development of adaptive interfaces designed to enhance First-Person View (FPV) drone piloting by integrating real-time sensory data, including biometric data from pilots and telemetry from drones.Our aim is to create user interfaces that dynamically adjust to the pilot's environmental and physiological conditions, thereby reducing cognitive load and improving piloting precision for a more responsive and intuitive experience.
Qualifications
The potential candidate should possess experience or interest in following areas:
- PhD in Computer Science or Information Systems (or equivalent)
- At least 3 years of experience working with drones
- Good UI/UX and rapid prototyping
- Excellent communication skills (written and verbal) and interpersonal skills
More Information
Location: Kent Ridge CampusOrganization: School of Computing
Department : Department of Computer Science
Employee Referral Eligible: No
Job requisition ID : 29380