All required qualifications must be documented on application materials.
Required Qualifications:
â¢PhD in Physics, Chemistry, Biochemistry, Biomedical Engineering, Biomedical/Electrical Engineering or a related field
â¢Knowledge of MR physics
â¢Strong computer programming skills, especially C/C++, MATLAB, and GPU programming.
â¢Demonstrated ability to conduct collaborative research
â¢Excellent communication skills

Preferred Qualifications:
â¢Experience in magnetic resonance imaging and/or spectroscopy data acquisition and post-processing
â¢Experience with Siemens MR scanners
â¢Some experience in IDEA pulse sequence programming and ICE reconstruction on Siemens

Research Environment: Center for Magnetic Resonance Research (CMRR)
The distinctive feature of CMRR is its emphasis on ultrahigh magnetic fields (7 Tesla and above). This emphasis is based on the premise that using ultrahigh magnetic fields provides significant advantages and improved biomedical information, provided that difficulties encountered by working at high frequencies can be overcome by methodological and engineering solutions.
CMRR is home to some of the most advanced MR instrumentation in the world, complemented by human resources that provide unique expertise in imaging physics, engineering, and signal processing. No single group of scientists can successfully carry out all aspects of this type of interdisciplinary biomedical research; by bringing together these multi-disciplinary capabilities in a synergistic fashion, facilitating these interdisciplinary interactions, and providing adequate and centralized support for them under a central umbrella, CMRR amplifies the contributions of each of these groups of scientists to basic and clinical biomedical research.
Research Goal
The Center for Magnetic Resonance Research has pioneered many of the MR methods that are critical in contemporary biomedical research including (but not limited to) the introduction of UHF instrumentation and accompanying techniques that overcome its challenges, accelerated MR imaging approaches, and many of the methods used to obtain biochemical information in vivo using spectroscopy and multinuclear capabilities. The successful candidate will work on a newly funded NIH project to develop real-time motion correction for MRS and MRSI in the brain and spinal cord in humans.

Responsibilities
â¢Develop motion correction techniques in the human brain and spinal cord
â¢Program pulse sequence and reconstruction codes on Siemens platforms (3T and 7T) for MR imaging and spectroscopy
â¢Validate these novel methodologies on phantoms and human participants
â¢Acquire and analyze MRI and MRS data
â¢Interpret data and prepare manuscripts
â¢Write abstracts and present work


The University of Minnesota offers a comprehensive benefits package including:
·         Competitive wages, paid holidays, vacation and sick leave
·         Low cost medical, dental, and pharmacy plans
·         Health care and dependent daycare flexible spending accounts
·         Disability and employer paid life insurance
·         Wellbeing program with reduced insurance premiums
·         Tuition reimbursement opportunities covering 75%-100% of eligible tuition
·         Student loan forgiveness opportunity
·         Opportunities for growth and promotion
·         Employee Assistance Program
For more information regarding benefits: https://policy.umn.edu/sites/policy.umn.edu/files/appendix/postdocappoint_appa.pdf