The School of Mechanical & Aerospace Engineering (MAE) welcome applications for a Research Fellow position on Air Traffic Management (ATM) at the Saab-NTU Joint Lab at Nanyang Technological University, Singapore. The Research Fellow will join a vibrant and dynamic research team studying the use of Artificial Intelligence and Data-Driven Machine Learning techniques for the development of Next-Generation ATM assistance tools for Remote Airport Tower Control.

Key Responsibilities:

• Conduct research and development related to Artificial Intelligence and Machine Learning applied to Air Traffic Management (ATM)
• Develop algorithms and models, perform data processing & mining, and perform analytics for future ATM systems
• Provide support on the implementation and verification of an AI-based Digital Tower Control assistance system.

Job Requirements:

• Ph.D. in Computer Science / Aerospace Engineering / Applied Mathematics, or related disciplines.
• Deep understanding and experience in the theory and application of Data Processing, AI and Machine Learning techniques (required).
• Programming Experience: knowledge of Python, Matlab, R and/or C++ (required).
• Demonstrated project experience related to Airport or Air Traffic Management (highly desirable).
• Software Engineering Experience: understanding and experience of sound Software Engineering practices, including data management, software version control and database design (highly desirable).
• Skills and Experience related to Unmanned aircraft system Traffic Management (UTM) are highly desirable.
• Skills and Experience in Computational modelling are highly desirable.
• Good English writing and communication skills (required).
• Writing report of experiments, research manuscripts and technical reports and research presentation at appropriate venues.
• Mentoring of undergraduate students.
• Development of software prototype and simulation platforms.

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU