Senior Research Fellow (Human-Computer Interaction/Computer Science) Full-time

Senior Research Fellow

Assist PI with project management and lead/mentor research team.

Communicate and collaborate effectively with industrial and academic partners.

Work in multidisciplinary teams to design innovative human-machine interfaces for addressing complex challenges in AI-assisted air traffic control systems.

Conduct user research and needs-finding studies to identify user problems and design requirements. Utilize a flexible and creative approach, employing suitable methods and techniques tailored to different contexts.

Collaborate closely with other research fellows, research engineers, and research associates specializing in AI, optimization, and control to prototype and explore interface designs that effectively support human-AI collaboration in air traffic control.

Design and lead user studies to evaluate interface designs, preferably utilizing both quantitative and qualitative approaches to gather comprehensive feedback.

Write and publish research findings as journal articles, conference papers, or technical reports to contribute to the academic and professional discourse in the field.

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.

Hiring Institution: NTU