Research Fellow, Computer Science and Engineering/Mathematics/Electrical Engineering

6 days left

13 Jul 2020
End of advertisement period
13 Aug 2020
Contract Type
Full Time

As a member of the Saab-NTU Joint Research Centre at School of Mechanical & Aerospace Engineering, Nanyang Technological University you will be part of a research team studying the use of Machine Learning (ML) and Artificial Intelligence (AI) techniques in the development of Next-Generation Air Traffic Management (ATM) assistance tools for Remote Airport Tower Control.

Key Responsibilities:

  • Conduct research and development related to Artificial Intelligence and Machine Learning applied to Optimisation for Air Traffic Management (ATM)
  • Provide expertise on the operational, procedural and regulatory facets of ATM and how to best incorporate AI/ML-based assistance tools for Remote Air Traffic Control
  • Provide support on the implementation and verification of AI-based Remote Tower Control assistance systems

Job Requirements: 

  • Ph.D. in Computer Science & Engineering, Mathematics, Electrical Engineering or related disciplines
  • At least 24 months of Air Traffic Management experience
  • Research Publication: Publication track record in peer-reviewed and reputed journals and conferences related to Optimisation/Air Traffic Management
  • Understanding of Optimisation techniques and theory
  • Demonstrated project experience related to Air Traffic Control
  • Familiarity with ICAO Standards and Recommended Practices
  • Good English writing and communication skills
  • Independent and team player

We regret that only shortlisted candidates will be notified.

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