Doctoral student (licentiate) in medical image processing - Hiring in process/Finished, not possible to apply

Project description

Third-cycle subject: Medical Technology

In the last few years, deep learning has become the most popular tool in medical image processing, with very promising results in many applications, including segmentation and classification. However, the standard tools of deep learning, such as convolutional neural networks (CNN), are not usually suitable for specific applications such as connectivity analysis of the brain, biomechanical simulation and evaluation of cancer treatment. Moreover, medical imaging data is usually scarce compared to other fields where deep learning is often applied. This makes it necessary to create clever data augmentation strategies for training purposes. In this project, the doctoral student will develop new deep learning methods targeting these applications. A strong mathematical and programming background is required for this position. The position is for a licentiate student, which may be extended to a full PhD. The project is partly funded by Eurostars and the Swedish Research Council

What we offer

• The possibility to study in a dynamic international research environment in close cooperation with industries and advanced universities the world over.
• Life-long network through KTH's Alumni organization.
• A personal study plan to support your development within your areas of interest.
• A workplace with many employee benefits and monthly salary according to KTH's doctoral student salary agreement.
• Work and study in Stockholm, one of Europe´s fastest growing capitals, which is close to both nature and the sea.
• Help to relocate and get settled in Sweden and at KTH.
• The research group in medical image processing and visualization at KTH is a cross-disciplinary environment where high-level competence in machine learning techniques as well as other image processing methods is combined with deep knowledge of medical problems to be solved. We collaborate with clinical experts in radiology, radiation physics, oncology, geriatrics, neuroscience etc.

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:

• passed a degree at advanced level,
• completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits at advanced level, or
• in any other way acquired within or outside the country acquired essentially equivalent knowledge.

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:

• ability to independently pursue his or her work,
• ability to collaborate with others,
• have a professional approach and
• analyse and work with complex issues.

Good ability to express yourself oral and written in English, is a requierment.

Target degree: Licentiate 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:

• CV including your relevant professional experience and knowledge.
• Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long)
• Copy of the degree certificate(s) and transcripts of records from your previously attended university-level institutions. Translations into English or Swedish if the original documents are not issued in one of these languages.
• Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.

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.