KTH Royal Institute of Technology,

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as in architecture, industrial management, urban planning, history and philosophy.

The School of Engineering Sciences carries out a wide range of research at the international front line, from fundamental disciplines such as Physics and Mathematics, to Engineering Mechanics with applications such as Aeronautics and Vehicle Engineering. We also offer university degree programs in Engineering Physics, Vehicle Engineering, and 'Open entrance', as well as a number of international masters programmes

Job description

The research group in imaging within the department of mathematics is offering a two-year postdoc position based on a grant from the applied mathematics programme at the Swedish Foundation for Strategic Research.

The position is part of a larger medical imaging project where the overall goal is to develop theory and algorithms for image reconstruction applicable to x-ray based medical imaging with under-sampled and/or highly noisy data. Imaging modalities involved are 3D spiral/helical CT, 4D SPECT/CT and PET/CT, C-arm 3D-CT, and spectral CT. The project also includes applications to x-ray and electron microscopy phase contrast imaging. Overall clinical goals are to significantly reduce the total dose of x-rays and/or acquisition time while maintaining a clinically useful image quality, alternatively to significantly improve image quality given a fixed total dose/acquisition time.

The research associated with the position includes development of theory and implementation of numerical algorithms for solving large-scale convex and non-smooth optimization problems. Focus is on development of accelerated primal-dual splitting schemes and applying those to tomographic image reconstruction problems from medical imaging. The large-scale natures of the problems require algorithms that not only convergence fast but also have small memory footprint. Implementations of algorithms will be as software components integrated with ODL (http://github.com/odlgroup/odl), a Python-based software framework for numerical functional analysis. Part of the research may include close collaboration with the medical technology companies Elekta and Philips, and with clinicians at Karolinska University Hospital in Stockholm.

There is a possibility to teach at 20% if the candidate wishes to do so.  

Qualifications

A PhD degree in mathematics, signal processing or computational physics that has been awarded (or planned to be awarded) before the commencement of the position is a requirement. We seek a candidate with a PhD degree in mathematics or a closely related area and that has a strong background in optimization and functional analysis. The candidate must also have experience from software development in scientific computing, preferably using Python and/or C/C++. Experience from image processing/reconstruction applications is highly beneficial but not required. Finally, a successful applicant must be strongly motivated, have the capability to work independently as well as in collaboration with members of the research group, and have good communication skills.

Trade union representatives

You will find contact information to trade union representatives at KTH:s web page.

Application

Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad.

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

The application should include the following documents in PDF format.

  • A one-page cover letter, including a statement of your research experience and interests.
  • CV and a publication list.
  • Letter(s) of recommendation and/or names and contact details of 2-3 referees

Others

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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 longer than 6 months
Contract type Full time
First day of employment According to agreement, preferably no later than January 1, 2017.
Salary Monthly salary
Number of positions 1
Working hours 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number S-2016-0520
Contact
  • Ozan Öktem, Associate Professor, Phone: +46 8 790 66 06, E-mail: ozan@kth.se
Published 19.May.2016
Last application date 03.Oct.2016 11:59 PM CET

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