Research Fellow
2 weeks ago
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.-
- 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.
Hiring Institution: NTU
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