Postdoctor in PET/SPECT Image Reconstruction
KTH Royal Institute of Technology, School of Engineering Sciences
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 research group in mathematical imaging within the department of mathematics is offering a two-year postdoctoral fellowship 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 position includes research & development of algorithms for PET and SPECT image reconstruction. The position is closely tied to on-going mathematical research initiatives related to image reconstruction and clinical applications in nuclear medical imaging. Some examples of these are multi-channel regularization in PET/CT and SPECT/CT, joint reconstruction and image matching for spatiotemporal pulmonary PET/CT and cardiac SPECT/CT imaging, and task-based reconstruction by iterative deep neural networks. The main development task is to integrate routines for forward and backprojection from reconstruction packages like STIR and EMrecon for PET and NiftyRec for SPECT with ODL, our Python based framework for reconstruction. Research related tasks are to devise computationally feasible models for incorporating detector response and scatter in PET and SPECT imaging. This can be approached using traditional physics based models, but one may also try out methods that rely on deep learning, the latter utilizing the existing integration between ODL and TensorFlow. A final task is to develop a framework for task-based evaluation of reconstruction algorithms that is relevant for the clinical imaging problems that focus on PET/CT for pulmonary cancer diagnosis and staging and SPECT/CT for cardiac perfusion imaging.
There is a possibility to teaching at 20% if the candidate wishes to do so.
A PhD degree in physics, signal processing or computational engineering that has been awarded (or planned to be awarded) before the commencement of the position is a requirement. The candidate should have a strong background from medical imaging, preferably in the context of PET and SPECT physics and image reconstruction. The candidate must also have experience from software development in scientific computing, preferably using Python and/or C/C++. Experience from the software packages STIR, EMrecon and/or Nifyrec is highly beneficial. The position is placed close to the nuclear medical imaging clinic at the Karolinska University Hospital in Stockholm, so a successful candidate also needs to be able to conduct collaborative research in PET/SPECT imaging with clinicians.
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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
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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 August 1, 2018.|
|Number of positions||1|
|Last application date||01.Dec.2017 11:59 PM CET|