Principal Investigator in AI-Assisted Air Traffic Control
4 days ago
The Air Traffic Management Research Institute at NTU is dedicated to advancing the field of air traffic management through innovative research and development. We are seeking a highly qualified Senior Research Fellow to join our team in Singapore and contribute to the development of cutting-edge human-machine interfaces for AI-assisted air traffic control systems.
About the TeamWe have a diverse team of researchers and industry partners working together to push the boundaries of air traffic management research.
Responsibilities:- Assist the Principal Investigator with project management and lead/mentor a research team.
- Collaborate with industrial and academic partners to communicate and coordinate research efforts.
- Design and develop human-machine interfaces that address complex challenges in AI-assisted air traffic control systems.
- PhD degree in Human-Computer Interaction or Computer Science with a specialization on information visualization, human-machine interaction.
- A minimum of 4 years of post-doc experience in the domain of HMI.
- Extensive knowledge and experience in user interface design incorporating complex information.
- Solid programming skills (JavaScript, HTML or alike, Python, C#) are desired.
- Comfortable with UI prototyping tools like Figma, Adobe XD, etc.
- Passionate in crafting and exploring various interface/visualization designs with rigorous considerations on users' needs.
- Experienced with designing and conducting user studies using both qualitative and quantitative approaches.
- Track record of publications at HCI/HMI or information visualization venues is required (CHI, UIST, DIS, IUI, AVI, INTERACT, etc.).
- Independent and team player.
- Excellent English writing and communication skills.
- Prior experience in human-AI collaboration research.
- Experience and interest in developing user interfaces and interactions that integrate emerging technologies such as speech-to-text, gaze tracking, or other relevant.
- Familiarity with human-machine interfaces in safety-critical environments, such as manufacturing, air traffic control, vehicle maneuvering, etc.
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