ATMRI at NTU is seeking a highly motivated Senior Research Fellow to conduct research in Human Factors, Human-AI Teaming, and Human-Centred AI for next-generation Digital Air Traffic Controller (ATCO) Assistant systems. The role is responsible for leading the design, development, and evaluation of Human-AI collaboration solutions through human-in-the-loop experimentation, usability evaluation, and user-centred methodologies. Working closely with AI researchers, engineers, operational stakeholders, and aviation experts, the candidate will contribute to the development of adaptive, trustworthy, and effective AI systems for safety-critical air traffic management environments, supporting ATMRI's mission to advance aviation innovation and digital transformation.
The role also includes contributing to high-impact publications, engaging with industry and regulatory stakeholders, mentoring junior researchers and students, and supporting project delivery and reporting.
Responsibilities:
Lead human factors research for the design, development, and evaluation of AI-enabled ATCO Assistant systems.
Design and conduct human-in-the-loop (HITL) experiments to assess controller performance, workload, situational awareness, trust, and acceptance of AI-assisted decision support tools.
Develop user-centred interfaces and interaction paradigms that facilitate effective Human-AI collaboration in operational ATM environments.
Define human factors requirements, evaluation metrics, and validation protocols for Digital ATCO Assistant functionalities.
Investigate cognitive processes and controller behaviours to support personalized and adaptive AI assistance.
Conduct usability studies and experimental analyses using quantitative and qualitative methodologies.
Collaborate closely with AI, machine learning, and software engineering teams to translate operational requirements into deployable human-centred solutions.
Engage with operational stakeholders, including air traffic controllers, ANSPs, and regulators, to gather requirements and validate developed solutions.
Contribute to safety, explainability, trustworthiness, and human oversight considerations for AI applications in air traffic management.
Disseminate research outcomes through technical reports, journal publications, conference papers, demonstrations, and stakeholder presentations.
Support project management activities, including experiment planning, data collection, documentation, and coordination with project partners.
Mentor junior researchers and students involved in human factors and Human-AI teaming activities within the project.
Requirements:
Ph.D. in Human Factors, Human-Computer Interaction, Engineering, Computer Science, or a related discipline.
Experience in Human-AI Teaming, Human-Automation Interaction, or Human-Centred AI, preferably in safety-critical systems.
Proven ability to design and conduct Human-in-the-Loop (HITL) experiments, usability studies, and human factors evaluations.
Strong analytical and data analysis skills, with experience in experimental design and statistical analysis tools.
Proven track record of high-quality publications in reputable venues.
Excellent communication and collaboration skills, with the ability to work effectively in interdisciplinary teams and engage with external and international stakeholders.
Prior experience in Air Traffic Management (ATM), Air Traffic Control (ATC), or aviation is an advantage.