Research Fellow - Human Factors & Human-AI Teaming

About the role

ATMRI at NTU is seeking a Research Fellow to carry out research in Human Factors, Human-AI Teaming and Human-Centred AI for next-generation Digital Air Traffic Controller (ATCO) Assistant systems. The role sits at the intersection of human factors, engineering and computer science, working with AI, machine learning and software engineering teams.

Key responsibilities

• Design and run human-in-the-loop (HITL) experiments to assess controller performance, workload, situation awareness, trust and acceptance of AI-assisted decision support tools.
• Develop user-centred interfaces and interaction paradigms that enable effective Human-AI collaboration in operational air traffic management environments.
• Define human factors requirements, evaluation metrics and validation protocols for Digital ATCO Assistant functions.
• Investigate cognitive processes and controller behaviour to support personalised and adaptive AI assistance.
• Carry out usability studies and experimental analyses using quantitative and qualitative methods.
• Work with AI, machine learning and software engineering teams to turn operational requirements into deployable, human-centred solutions.
• Engage with air traffic controllers, air navigation service providers and regulators to gather requirements and validate solutions.
• Contribute to safety, explainability, trustworthiness and human oversight considerations for AI in air traffic management.
• Share results through reports, journal articles, conference papers, demonstrations and stakeholder presentations.

Required profile

• 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 run HITL experiments, usability studies and human factors evaluations.
• Strong analytical and data analysis skills, with experience in experimental design and statistical analysis tools.
• High-quality publications in reputable venues.
• Excellent communication and collaboration skills, able to work in interdisciplinary teams and with external and international stakeholders.
• Prior experience in Air Traffic Management, Air Traffic Control or aviation is an advantage.