Research Fellow (Human Factors / Human-Computer Interaction / Engineering / Computer Science)

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.
Hiring Institution: NTU