Air Traffic Management Research Fellow - Data-Driven Solutions

Nanyang Technological University

Singapore

On-site

SGD 60,000 - 110,000

Full time

14 days+

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Job summary

Air Traffic Management Research Institute (ATMRI) at Nanyang Technological University (NTU) in Singapore invites applications for a Research Fellow to advance research on air traffic management (ATM) algorithms and data-driven methods. The role focuses on intelligent methods and operation-support tools for ATM applications with collaboration across NTU and CAAS.

Ideal candidates have a PhD in relevant fields, at least three years of related research experience, strong programming and

Qualifications

PhD in a related field (Aerospace, Transport, Mechanical Engineering, CS)
Strong programming and data-analysis skills for research
Proven ability to communicate technical results in reports/publications
Experience with research in ATM or related areas is a plus

Responsibilities

Conduct research on methods and approaches to support air traffic management studies and applications.
Develop, test, and evaluate analytical models, algorithms, and tools using operational and simulated data.
Support research activities related to airspace and air traffic operations under current and future ATM concepts.
Work collaboratively with researchers and engineers to develop prototype solutions and decision-support tools.
Analyse results and assess performance and applicability of methods in realistic operational scenarios.
Prepare technical reports, research papers, and project deliverables; participate in meetings and reviews.
Contribute to research proposals, technical documentation, and other project activities as required.