Research Fellow - Data-Driven ATM Algorithms & Tools

ntu; Singapore; On-site; SGD 78,000 - 100,000; Full time

Job summary

NTU's Air Traffic Management Research Institute (ATMRI) invites applications for a Research Fellow to advance ATM algorithms and data-driven methods. The role focuses on developing intelligent techniques and operation-support tools for ATM, collaborating with research teams and industry partners in Singapore.

The candidate should hold a PhD in a related field and have strong programming and analytical skills, with experience in air traffic management research.

Qualifications

• PhD qualification in Aerospace Engineering, Transport, Mechanical Engineering, Computer Science, or related field.
• At least three years of relevant research experience in air traffic management or related technical research roles.
• Familiarity with ATM systems, airspace operations, or air traffic operations.
• Excellent written and oral communication skills for technical reports and publications.
• Proficiency in programming for research and data analysis (e.g., Python).
• Strong problem-solving, analytical, and collaborative skills.

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.
• Collaborate with researchers and engineers to develop prototype solutions and decision-support tools.
• Analyze results and assess performance and applicability in realistic operational scenarios.
• Prepare technical reports, research papers, and project deliverables; participate in meetings and reviews.
• Contribute to research proposals and project documentation as required.

Skills

Python

Data analysis

Education

PhD in Aerospace Engineering or related fields

Job description

NTU's Air Traffic Management Research Institute (ATMRI) invites applications for a Research Fellow to advance ATM algorithms and data-driven methods. The role focuses on developing intelligent techniques and operation-support tools for ATM, collaborating with research teams and industry partners in Singapore.

The candidate should hold a PhD in a related field and have strong programming and analytical skills, with experience in air traffic management research.