Research Fellow (Air Traffic Management Human Factor)
3 weeks ago
The Air Traffic Management Research Institute (ATMRI) was jointly established by the Civil Aviation Authority of Singapore (CAAS) and Nanyang Technolo..
The Air Traffic Management Research Institute (ATMRI) was jointly established by the Civil Aviation Authority of Singapore (CAAS) and Nanyang Technological University (NTU) in 2013. As a renowned research institute, ATMRI focuses on finding innovative solutions to advance air traffic management (ATM) and catalyze the transformation of ATM systems in the region. The institute is at the forefront of research, integrating advanced AI, data analytics, and human-centered approaches to enable next-generation ATM systems.
We are seeking a highly motivated and independent Research Fellow to conduct innovative research in air traffic management, especially on the application of human factor in interface design for air traffic management.
Key Responsibilities:
- Develop the assessment framework for controller workload, communication and coordination efficiency, and decision making effectiveness when operating under and transitioning from normal and multi-sector planner staffing levels.
- Analyzing and optimizing users' human factor performance to ensure smooth transition between staffing level and effective use of ATM tools.
- Conducting qualitative and quantitative research to collect user feedback by analyzing bio-signal data or questionnaires.
- Facilitating communication and collaboration among experts from diverse backgrounds to integrate knowledge, communication and collaboration among experts from diverse backgrounds to integrate knowledge
- Spearhead research initiatives, publish in leading journals and conferences, mentor students, and collaborate with academic and industry partners to drive the deployment of next-generation ATM systems.
Job Requirements:
- A PhD degree in human factors, aerospace engineering, operations research, or a related field.
- Proven research expertise demonstrated through publications in SCI Q1 journals and ATM-focused conferences.
- Strong theoretical background in human factors for air traffic management systems.
- Proficiency in programming (Python, C++, MATLAB).
- Excellent English communication and writing skills - for research purposes
- Ability to work independently and as a team leader, managing multiple tasks across research and project objectives.
Join us to contribute to cutting-edge research and help shape the future of air traffic management!
We regret that only shortlisted candidates will be notified.
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