Doktorander inom datorseende för att mäta andning och puls från video
Core
Develop video-based methods to monitor human physiological parameters (heart rate, breathing, skin temperature, pupil dilation) to estimate underlying states like concentration, anxiety, and depression.
Role type
PhD researcher in computer vision and machine learning
Builds
Non-intrusive video-based physiological monitoring systems for clinical and cognitive science practice
Domain
Computer Vision, Machine Learning, Medical Technology
Deliverable
production ML models
Required skills
Deep neural networks programming, Computer vision, Image processing, Signal processing
Preferred skills
Medical applications, 3D human analysis in video
Technologies
Deep neural networks, Computer vision frameworks, Signal processing tools
Responsibilities
Develop video-based methods for physiological parameter monitoring, Collaborate with perceptual neuroscientists at Karolinska Institutet, Analyze complex research questions independently
Seniority
PhD candidate, research-focused IC