Continuous Experience Recognition for Distributed Co-creative Immersive Systems

About the role

The position is part of MishMash Centre for AI and Creativity, which is a Norwegian AI centre funded by the Research Council of Norway (2025-2030).

The successful candidate will join ND’s the Sustainable Immersive Networking Lab (SINLAB), a multidisciplinary team working on systems that enable users to become immersed in remote physical environments, observe them, move in them, and physically act in them, and experience the effects of their actions through multimodal feedback (audio, video, haptics).

Responsibilities

• Explore how a combination of multimodal observation (audio, video, LIDAR, thermal vision) and physiological measurements (motion tracking, eye tracking, EMG, BCI, EDA, HRV) can be used to continuously assess the human experience of interaction quality.
• Feed this assessment back into the AI-based predictor to tune its behavior in real-time for a highly personalized and context-dependent experience.
• Collaborate with partners of the MishMash center on specific applications such as multimodal first-person presence in a remote environment through a robot and co-creative collaboration between an embodied AI and one or more human musicians.
• Consider the applicability to situational awareness and high-level control in control centers.

Requirements

• Master’s degree or equivalent in informatics, computer science/engineering, mathematics, music/media technology, electrical/electronic engineering, cybernetics, robotics or other field relevant for the position.
• Documented experience with designing and conducting user experience studies and quantitative performance evaluation.
• Documented experience in the system performance evaluation of computer systems and networks for interactive applications, preferably with AR/VR/XR, robotics, haptics, multimodal or multimedia systems.
• Directly relevant areas are preferable.
• Documented hands-on experience with machine learning methods, in particular for time series data.
• Documented hands-on programming experience.
• Fluent oral and written communication skills in English.

Qualifications

• Personal Skills: Comfortable and capable working in an open, interactive, collaborative work environment; interest in collaborating beyond one’s own research discipline; social responsibility and ethical awareness required to design, organize, and conduct user studies; good communication and collaboration skills; positive attitude and the ability to handle hectic periods; prefer to be present at the workplace and actively contribute to the professional and social environment of SINLAB and MishMash.

Skills

• Designing and conducting user experience studies and quantitative performance evaluation.
• System performance evaluation of computer systems and networks for interactive applications, especially AR/VR/XR, robotics, haptics, multimodal or multimedia systems.
• Machine learning methods, particularly for time series data.
• Hands-on programming experience.
• Able to communicate effectively in English.

Benefits

No benefits are mentioned in the job posting.

Pay

NOK from 550 800 - 595 000, depending on competence and experience.

Schedule

The position is full-time and starts no later than February 2, 2027.