PhD Student in Computer Vision for Measuring Breathing and Heart Rate from Video

Kungliga Tekniska Högskolan · Vollzeit

Brinellvägen 8, Stockholm, Schweden

Project Description Research Education Subject: Computer Science The goal of the project is to develop video-based methods for monitoring a person's physiological parameters, such as heart rate, breathing patterns, skin temperature, pupil dilation, etc. Physiological responses can be used to estimate underlying states such as concentration, anxiety, and depression, and are more difficult for the person to control than explicit behaviors (e.g., facial expressions and speech). Functioning systems in clinical and cognitive science practice typically require specialized measurement equipment that can disturb the person, so our video-based solution would be both scientifically interesting and practically useful. The project will be conducted in collaboration with researchers in perceptual neuroscience at Karolinska Institutet in Solna. Supervision: Prof. Hedvig Kjellström is proposed to supervise the PhD student. The decision will be made upon admission. Eligibility for Admission To be admitted to research education (Chapter 7, Section 39 of the Swedish Higher Education Ordinance), the applicant must have basic eligibility: - completed a degree at an advanced level, or - completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits are at an advanced level, or - acquired in some other way within or outside the country essentially equivalent knowledge. For this position, the applicant must also have a Master's degree with a primary focus on machine learning, artificial intelligence, signal processing, or computer vision. In addition to the above, there is a mandatory requirement for English equivalent to English B/6. Selection To succeed with your PhD studies at KTH, you need to be goal-oriented and persistent in your work. In the selection of applicants, the ability to: - independently drive your work forward, - collaborate with others, - maintain a professional approach, and - analyze and work with complex issues will be assessed. The applicant should have documented experience in machine learning, especially programming of deep neural networks. The applicant should have documented experience in computer vision, image processing, or signal processing. Experience with medical applications and 3D analysis of humans in video is meritorious. After the eligibility requirements, great emphasis will be placed on personal qualities. Target Degree: Doctoral Degree Information on Admission and Employment Only those admitted to research education may be employed as PhD students. The total employment period may not exceed what corresponds to full-time research-level education for four years. An employed PhD student may, to a limited extent (maximum 20%), perform certain tasks within, for example, education and administration. A new employment as a PhD student applies for a maximum of one year; the employment may thereafter be renewed for a maximum of two years at a time. For studies to be completed with a Licentiate degree, the total employment period may not exceed what corresponds to full-time research-level education for two years. As a PhD student, you will receive part of KTH's employment benefits and have a monthly salary according to KTH's agreement for PhD student salaries. Read more about Research Education at KTH | KTH | Sweden. Trade Union Representatives Contact information for trade union representatives. PhD Student Section (KTH Student Union) Contact information for the PhD Student Section. Application You apply through KTH's recruitment system. As an applicant, you have the main responsibility for ensuring that your application is complete when submitted. The application should contain the following: - Copies of diplomas and transcripts from previous university studies and evidence of fulfilled language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages. Copies of originals must be certified. - CV with relevant professional experience and knowledge. - Motivation letter with a brief account of why you want to pursue research education, your academic interests and how they relate to your previous studies and future goals. (Max 2 pages) - Representative publications or technical reports. For longer documents, please attach a summary (abstract) and a web link to the complete text. The application must be received by KTH no later than the last application deadline at midnight, CET/CEST (Central European Time/Central European Summer Time). Other For information on the processing of personal data in connection with recruitment. 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