Postdoctoral fellow in dynamic and spectroscopic MR image reconstruction
A post-doctoral fellowship is available at the Department of Electrical & Computer Engineering and Magnetic Resonance Research Facility (MRRF) at the University of Iowa. The research involves the development of novel compressed sensing algorithms and pulse sequences to advance the state of the art in dynamic and spectroscopic MRI, with applications to oncology and cardiovascular imaging. The fellowship provides an opportunity to work in an interdisciplinary team at the Iowa Institute of Biomedical Imaging (IIBI) and clinical researchers at the Department of Radiation Oncology. Facilities at MRRF include a research dedicated Siemens 3T TIM Trio MRI scanner and shared 3T and 1.5T Siemens magnets. A 7T GE research scanner will also be available by 2013.
Applicants must have a PhD or equivalent in electrical/biomedical engineering, medical physics, or closely related field. The ideal candidate would have a strong signal processing background and expertise in developing image reconstruction algorithms and/or MRI pulse sequences. A record of peer reviewed journal publications and expertise in C/C++, and/or Matlab are essential. Experience with IDEA sequence programming is desirable, but not required. The position is initially for one year and is extendable up to three years, based on performance.
This position is immediately available, while the start date is negotiable. The position will come with the health and other benefits at the University of Iowa. Qualified candidates are encouraged to apply.
The application must include the following:
The application should be sent to Dr. Mathews Jacob at the address below (e-mail applications only). The position is available immediately until filled.
Dr. Mathews Jacob,
Department of Electrical and Computer Engineering,
The University of Iowa
The group has several openings for graduate research assistants. The research involves the development of novel signal and image processing algorithms for multidimensional MRI. Strong signal processing background and programming experience in C/C++, and/or Matlab are required. Please contact Prof. Jacob for more information.