Lead Researcher in Human-Machine Interfaces

4 days ago


Singapore NTU (Nanyang Technology University- Main Office-HR) Full time

The NTU's Air Traffic Management Research Institute is committed to pushing the boundaries of air traffic management research. We are looking for a talented Senior Research Fellow to join our team in Singapore and contribute to the development of innovative human-machine interfaces for AI-assisted air traffic control systems.

Job Summary

This role involves working closely with the Principal Investigator and research team to design and develop human-machine interfaces that address complex challenges in AI-assisted air traffic control systems.

Key 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 integrate emerging technologies such as speech-to-text, gaze tracking, or other relevant.
Qualifications:
  • 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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