PhD students in Computer Vision to estimate breathing and pulse from video Full-time NEW

PhD Students in Computer Vision to Estimate Breathing and Pulse from Video

KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science

The goal of this project is to develop video-based methods to monitor a human's physiological parameters such as heart rate, breathing pattern, skin temperature, pupil dilation, etc. Physiological responses can be used to infer underlying states such as concentration, anxiety, and depression, and are more difficult to control for the human than explicit behaviors (e.g. facial expressions and speech). Working systems in clinical and cognitive-scientific practice typically require intrusive devices, so our video-based solution would be both scientifically novel and practically useful. The project will be performed in collaboration with perceptual neuroscience researchers at Karolinska Institutet in Solna, Sweden.

Supervision: Hedvig Kjellström is proposed to supervise the doctoral student. Decisions are made on admission.

To be admitted to postgraduate education, the applicant must have basic eligibility in accordance with either of the following:

• passed a second cycle degree (for example a master's degree), or
• completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
• acquired, in some other way within or outside the country, substantially equivalent knowledge

The applicant to this position must also have a Master degree with a major in Machine Learning, Artificial Intelligence, Signal Processing or Computer Vision.

In addition to the above, there is also a mandatory requirement for English equivalent to English B/6.

In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:

• independently pursue his or her work
• collaborate with others,
• have a professional approach and
• analyze and work with complex issues,

For this position, we put great emphasis on the ability to present documented experience in machine learning, especially programming of deep neural networks. The candidate should also have documented experience in computer vision, image processing, or signal processing.

Moreover, experience with medical applications and experience with 3D analysis of humans in video are meriting.

After the qualification requirements, great emphasis will be placed on personal skills.

Target degree: Doctoral degree