PhD student in computer vision to measure breathing and pulse from video

Project description

Research education subject: Computer Science

The goal of the project is to develop video-based methods to monitor a person's physiological parameters, e.g., heart rate, breathing patterns, skin temperature, pupil dilation, etc. Physiological response can be used to estimate underlying states such as concentration, anxiety, and depression, and is harder for the person to control than explicit behaviors (e.g., facial expressions and speech). Functional systems in clinical and cognitive science practice typically require special measurement equipment that can disturb the person, so our video-based solution would be both scientifically interesting and practically useful. The project will be carried out in collaboration with researchers in perceptual neuroscience at Karolinska Institutet in Solna.

Supervision: Prof. Hedvig Kjellström is proposed to supervise the PhD student; Decision is made upon admission.

Eligibility for admission

To be admitted to research education (Chapter 7, Section 39 of the Higher Education Ordinance) the applicant must have basic eligibility:

completed a degree at an advanced level, or fulfilled course requirements of at least 240 higher education credits, of which at least 60 higher education credits are at an advanced level, or in some other way, within or outside the country, acquired knowledge mainly corresponding to this.

For this position, it is also required that the applicant has a master's 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 Engelska B/6.

Selection

To succeed in your doctoral studies at KTH, you need to be goal-oriented and persistent in your work. During the selection of applicants, the ability to:

independently drive your work forward, be able to collaborate with others, have a professional approach and analyze and work with complex issues,

is 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 of medical applications and of 3D analysis of humans in video is meritorious.

After the eligibility requirements, great importance will be placed on personal qualities.

Target degree: PhD

Information about admission and employment

Only those admitted to research education may be employed as a PhD student. The total period of employment may not be longer than what corresponds to full-time research education for four years. An employed PhD student may, to a limited extent (at most 20%), perform certain tasks within, e.g., education and administration. A new employment as a PhD student is valid for at most one year; the employment may thereafter be renewed for at most two years at a time. For studies intended to be completed with a licentiate degree, the total period of employment may not be longer than what corresponds to full-time research education for two years.

As a PhD student, you will benefit from KTH's employment benefits and have a monthly salary according to KTH's agreement for PhD salaries. Read more about Research studies at KTH | KTH | Sweden.

Union representatives

Contact details for union representatives.

The PhD Section (Tekniska högskolans studentkår)

Contact details for the PhD section.

Application

You apply via KTH's recruitment system. As an applicant, you are primarily responsible for ensuring that your application is complete when it is submitted.

The application must contain the following:

Copies of degree certificates and transcripts from previous university studies and certificates of fulfilled language requirements (see above). Translations to 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. Cover letter with a concise account of why you want to pursue research studies, about 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 full text.

The application must reach KTH no later than the last application date at midnight, CET/CEST (Central European Time/Central European Summer Time).

Other

For information on the processing of personal data in connection with recruitment.

An employment at KTH may be subject to security clearance. If this is the case for this specific employment, a security screening of the applicant will be conducted in accordance with the Security Protection Act (2018:585) after consent. In these cases, a prerequisite for employment is that the applicant is approved after the security screening.

We reserve the right to decline direct contact with staffing and recruitment companies as well as advertisers.

Become a part of KTH

KTH shapes the future through education, research, and innovation. As a leading international technical university, we play an active role in driving and contributing to the transition to a sustainable society. Here, you are offered the opportunity to grow and develop in a creative and dynamic workplace with good working conditions and benefits. Equality, diversity, and equal opportunities are a matter of quality and an inherent part of KTH's core values as a university and a government agency.

Read more about our benefits and what it is like to work and develop at KTH.