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 A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources. For more information, visit www.ntu.edu.sg About NIE About RSIS About LKCMedicine About NTUItive

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

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