PhD position in computer vision for video-based measurement of breathing and pulse
PhD position in computer vision for video-based measurement of breathing and pulse
at
KTH Royal Institute of Technology
in Stockholm, Sweden.
This doctoral project is situated in
Computer Science
and aims to develop
video-based methods
for monitoring human physiological signals such as
heart rate, breathing patterns, skin temperature, and pupil dilation
. The broader goal is to estimate underlying states such as concentration, anxiety, and depression from subtle physiological responses that are harder to consciously control than facial expressions or speech. The research is academically strong and also highly practical, because current clinical and cognitive-science approaches often require special measurement equipment that can be intrusive.
The project will be carried out in collaboration with researchers in
perceptual neuroscience at Karolinska Institutet
in Solna, giving the work an interdisciplinary environment spanning computer vision, machine learning, signal processing, and neuro/behavioral science. The suggested supervisor is
Prof. Hedvig Kjellström
.
Eligibility is specific: applicants must satisfy the standard doctoral admission requirements and hold a
master’s degree
with a main focus on
machine learning, artificial intelligence, signal processing, or computer vision
. An additional requirement is
English equivalent to English B/6
. The selection process gives weight to independence, teamwork, professionalism, and the ability to handle complex tasks. Documented experience in
machine learning
, especially deep neural networks, and in
computer vision, image processing, or signal processing
is expected. Experience with
medical applications
and
3D analysis of humans in video
is considered a merit.
The position is a
doctoral employment
at KTH, not a scholarship. The appointment is full-time and time-limited, normally for up to
four years
, and doctoral employees receive salary according to KTH’s doctoral salary agreement and employment benefits. Two positions are available.
Applications must be submitted through KTH’s recruitment system by
2026-09-27
. Required application materials include degree certificates and transcripts, proof of language requirements, CV, a short motivation letter, and representative publications or technical reports. Where needed, documents must be translated into English or Swedish and certified copies should be provided.
