ATMRI at NTU is seeking a highly motivated 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.

Responsibilities:

• Conduct 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, situation 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.
• Design 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 user 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.

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.

We regret to inform that only shortlisted candidates will be notified.