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University of California, San Francisco - Postdoc in biomechanics & MSK imaging

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  • University of California, San Francisco - Postdoc in biomechanics & MSK imaging

    Post-Doctoral Research Fellow in
    Musculoskeletal MRI and Biomechanics

    Department of Radiology and Biomedical Imaging
    University of California, San Francisco

    The Musculoskeletal Quantitative Imaging Research (MQIR) group at the University of California, San Francisco has an opening for a postdoctoral fellow to conduct biomechanics and musculoskeletal imaging research studies. The postdoc will be involved primarily in NIH-funded studies evaluating detection capabilities for early cartilage and bone disease using quantitative imaging and its association with lower extremity biomechanics. These techniques have been implemented directly in human in vivo studies, in pathologies and diseases such as osteoporosis, osteoarthritis, and lower back pain. Kinematics and kinetics of human movement during functional tasks allows for translational application to patient behavior. Combining imaging modalities along with motion analysis remains a priority at UCSF. The successful candidate will be anticipated to contribute directly to ongoing projects in terms of data acquisition and analysis, as well as develop related areas of interest. Previous MR experience is recommended, although not a prerequisite.

    MQIR is a multidisciplinary team with imaging scientists, bioengineers, physical therapists, MR physicists, sports medicine physicians, and radiologists, working together at the UCSF Mission Bay campus. The successful candidate will have access to the resources at CMFI and QB3 and UCSF Human Performance Center, which include: two research-dedicated GE 3T MR system, a GE 7T whole body MR scanner, a Varian 7T animal MR, 500MHz and 600MHz NMR spectrometers, Scanco high-resolution peripheral quantitative computed tomography, VICON ten-camera motion analysis system, three AMTI force platforms, BTE multi-modal dynamometer, and a Delsys surface EMG system. The research projects include the translation of cutting-edge quantitative imaging metrics for knee and hip joint pathology on large scales, and evaluation of interactions with functional biomechanics. More information on MQIR can be found at

    Requirements: A PhD degree in movement science, biomedical engineering, rehabilitation science or related field; background in motion analysis and biomechanics required; programming skills with C, C++, Matlab and IDL preferred; strong communication skills in written and verbal English required. Experience in MRI pulse sequence programming or image processing algorithm development is a plus.

    Applicants should email a CV, along with a brief letter outlining their research background interests and contact information for two to three references to:

    Dr. Richard Souza, PT, PhD
    Associate Professor
    Department of Physical Therapy and Rehabilitation Science
    Director of Research, UCSF Human Performance Center

    UCSF is an Equal Opportunity/ Affirmative Action Employer