The position is part of a 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 or highly noisy data.
The project involves the following imaging modalities:
- 3D spiral/helical CT
- 4D SPECT/CT and PET/CT
- C-arm 3D-CT
- Spectral CT
The successful candidate will design and implement numerical algorithms for joint non-rigid image registration and reconstruction for tomographic inverse problems.
Specific focus is on:
- Deformable templates using diffeomorphisms
- Spatio-temporal imaging
Algorithms will be implemented as software components integrated with ODL, a Python-based software framework for numerical functional analysis.
- PhD in mathematics
- Strong background in differential geometry and functional analysis
- Experience in scientific computing, preferably using Python or C/C++
- Experience in image processing and reconstruction (desired)
- Experience in optimization on Riemannian manifolds (desired)
How to apply
Prepare the following information and apply online:
- Cover letter (1 page)
- Curriculum vitae
- Publication list
- Recommendation letters or contact information of 2–3 referees
The application deadline is October 3, 2016.
About the employer
KTH Royal Institute of Technology was founded in 1827. It is the largest, oldest and most international technical university in Sweden.