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The research will be conducted at the Science for Life Laboratory (www.scilifelab.se) as part of the Division of Computational Science and Technology, under the supervision of Associate Professor Kevin Smith whose main focus is on computer vision and biomedical image analysis.
Deep learning has dramatically pushed the performance of many intelligent systems, but many important questions remain open for research. How can we make sense of the high capacity of deep networks? How should one interpret its decision making process? How can we transfer knowledge from an information-rich application to tasks where data is scarce? What are the limits of its application in other fields? The role of the doctoral student will be to develop theoretical advances regarding these research questions and focus on applying them to problems in computer vision and/or biomedical image analysis. Possible topics of interest include: knowledge transfer, universal representation and learning, understanding deep networks, explainability, and uncertainty estimation. Should the student be willing and sufficiently experienced, they will have some freedom to steer the direction of research.
Please include with your application a short (1 page) project proposal describing a topic around deep learning and/or biomedical image analysis that you would like to pursue in your doctoral studies.
Third-cycle subject:Computer Science
Supervision: The doctoral student will be supervised by Associate Professor Kevin Smith
To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance)applicant must have basic eligibility in accordance with either of the following:
In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During selection process, candidates will be assessed upon their ability to:
After qualification requirements, great emphasis will be placed on personal qualities and personal suitability
Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years ' time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time.
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Type of employment | Temporary position |
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Contract type | Full time |
First day of employment | As agreed |
Salary | Monthly salary according to KTH's doctoral student salary agreement |
Number of positions | 1 |
Full-time equivalent | 100% |
City | Stockholm |
County | Stockholms län |
Country | Sweden |
Reference number | J-2020-1775 |
Contact |
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Published | 10.Sep.2020 |
Last application date | 2020-10-08 23:59:59 |