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
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