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Project description
Third-cycle subject: Computer Science
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 Assistant Professor Kevin Smith (https://www.kth.se/profile/ksmith) 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, universial 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.
What we offer
Eligibility
To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:
Selection
In order to succeed as an doctoral student at KTH you need to be goal oriented and persevering in your work. In the selection of the applicants, the following will be assessed:
Target degree: Doctoral Degree
Information regarding admission and employment
Only those who are or have been admitted to third-cycle studies may be employed as a doctoral student. The term of the initial contract may not exceed one year and may thereafter be extended. Doctoral students may engage in teaching, research, and administration corresponding to a maximum of 20 % of a full-time position.
Union representatives
You will find contact information for union representatives on KTH's website.
Doctoral section (Students’ union on KTH Royal Institute of Technology)
You will find contact information for doctoral section on the section's website.
Application
Apply for the position and admission through KTH's recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.
Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/entral European Summer Time).
Applications must include the following elements:
Other information
Gender equality, diversity and zero tolerance against discrimination and harassment are important aspects of KTH's work with quality as well as core values in our organization.
For information about Processing of personal data in the recruitment process please read here.
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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.
Type of employment | Temporary position |
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Contract type | Full time |
First day of employment | According to agreement |
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-2019-0496 |
Contact |
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Published | 21.Feb.2019 |
Last application date | 10.Apr.2019 11:59 PM CEST |