In 2013, the Civil Aviation Authority of Singapore (CAAS) and Nanyang Technological University (NTU) jointly established the Air Traffic Management Research Institute (ATMRI) in Singapore, with the vision to set up a renowned ATM research institute, finding innovative solutions, and catalysing an ATM transformation in the region. ATMRI is currently leading cutting-edge research on ATM, with the vision to facilitate next-generation ATM by developing advanced AI and Data Analytics.
ATMI is inviting applications for the position of Research Associate. The Research Associate will be part of a research team to study the use of Artificial Intelligence and Data Analytics in Air Traffic Management Systems.
Key Responsibilities:
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Support research and development related to Artificial Intelligence and Machine Learning applied to Air Traffic Control and Air Traffic Management.
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Develop algorithms and models (Deep Learning/Deep Reinforcement Learning), perform data mining, doing analytics for future for Air Traffic Control Operations.
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Develop prototypes and intelligent tools for Air traffic management.
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Support Principal Investigator/Team Lead with project management activities and preparation of progress reports.
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Communicate and collaborate effectively with industrial and academic partners.
Job Requirements:
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Master’s degree in Computer Science, Aerospace Engineering, Operation Research or equivalent.
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Experience in programming and have excellent knowledge of Python Programming Languages.
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Demonstrated project experience related to applied Machine Learning, Data Mining, Air Traffic Control or Air Traffic Management
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Publication in peer-reviewed conferences and/or journals related to Machine Learning/Air Traffic Management.
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Good English writing and communication skills
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Able to work independently and be a team player
We regret that only shortlisted candidates will be notified.
