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

Nanyang Technological University Singapore; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

Nanyang Technological University Singapore's ATMRI invites a Research Fellow to advance Human Factors, Human-AI Teaming, and Human-Centred AI for next-gen Digital ATCO Assistant systems.

The role involves designing HITL experiments, developing user-centred interfaces, and collaborating with AI, ML, and software teams to deliver safe, explainable AI-enabled tools for air traffic management. Collaboration with regulators is expected.

Qualifications

• PhD 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.

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.

Skills

Human-AI teaming

HITL experiments

Data analysis

Interdisciplinary collaboration

Academic writing

Education

PhD in Human Factors or related field

Tools

Statistical analysis tools

Job description

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.

Hiring Institution: NTU