The Department of Mathematics at KTH -- Royal Institute of Technology (KTH) Stockholm, Sweden would like to invite applications for three Postdoctoral Scholarships starting either in September 1, 2014 or January 1, 2015.
The positions are part of the five year program that centers around penalizing image complexity in tomographic reconstruction by sparsity and/or entropy. Research will be part of three collaborative projects:
(1) 3D reconstruction for CT for diagnosis & monitoring of Alzheimer's Disease with Karolinska University Hospital
(2) 4D reconstruction for cardiac SPECT-CT and pulmonary PET-CT imaging with Karolinska Institutet
(3) 3D reconstruction for imaging soft tissue tumors by C-arm 3D-CT for on-line treatment planning with Elekta
Description of postdoctoral fellowships
Postdoctoral fellow 1 will work with development of analytic and trained dictionaries for compression of 3D neuroanatomical and dynamic 3D cardiac and pulmonary structures. Postdoctoral fellow 2 will work with project 2, employing variational regularization of Total Variation type in collaboration with postdoctoral fellow 1. Postdoctoral fellow 3 will work with projects 1 and 3 using sparsity promoting L1 or entropy type of variational regularization in collaboration with postdoctoral fellow 1.
Qualifications & eligibility
For all three fellowships, candidates should posses strong expertise in a sub-field of computational sciences (numerical mathematics, signal processing, and/or computational physics). Furthermore, candidates should have good expertise & experience from software development and some experience from cross-disciplinary research. Familiarity with the physics of radiative transport is also appreciated. The following lists specific requirements for each of the above fellowships:
Fellowship 1: Strong expertise from computational harmonic analysis, like 3D wavelet & shearlet compression and/or dictionary learning, applied to imaging problems is highly appreciated.
Fellowships 2 & 3: At least one candidate should have strong expertise from large scale non-linear optimization, preferably in the context of variational regularization. For fellowship 2, experience from TV, non-local-TV, Bregman-TV or higher order TV methods in imaging is highly appreciated. Likewise, for fellowship 3 we seek candidates with experience from L1 or entropy type of regularization in imaging.
Further information about the program and the fellowships can be obtained fromhttp://www.kth.se/polopoly_fs/1.465770!/Post-doc.pdf
Information about the scholarship
Form of scholarship: Time limited, up to 2 years.
Start date: According to agreement, at the latest February 1st, 2015.
Salary & benefits: Remuneration according to KTH policy for postdoctoral scholarships.
Application deadline: August 1, 2014
KTH reference number: S-2014-0390
Application must be submitted via e-mail firstname.lastname@example.org as a single pdf-file. Write the KTH reference number in the e-mail subject field, indicate the fellowship you apply for (if multiple, list them in priority order). A complete application should consist of CV, list of publications, a brief research plan, copies of PhD diploma and PhD thesis, contact information for three references, and any other relevant material that the applicant would like to be taken into account.
Contact person: Ozan Öktem (e-mail: email@example.com), program PI