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BIOMEDICAL IMAGING AND LOWER EXTREMITY BIOMECHANICS - Department of Radiology and Biomedical Imaging
The Musculoskeletal Quantitative Imaging Research (MQIR) group at the University of California, San Francisco has an immediate opening for a postdoctoral fellow to conduct biomechanics and musculoskeletal imaging research studies. The postdoc will be involved primarily in an NIH-funded study on characterizing hip osteoarthritis using quantitative MRI and motion analysis. 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. Strong motion analysis experience is required. 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: three 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 http://www.radiology.ucsf.edu/cort
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 at richard.souza@ucsf.edu
UCSF is an Equal Opportunity/ Affirmative Action Employer
The Musculoskeletal Quantitative Imaging Research (MQIR) group at the University of California, San Francisco has an immediate opening for a postdoctoral fellow to conduct biomechanics and musculoskeletal imaging research studies. The postdoc will be involved primarily in an NIH-funded study on characterizing hip osteoarthritis using quantitative MRI and motion analysis. 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. Strong motion analysis experience is required. 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: three 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 http://www.radiology.ucsf.edu/cort
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 at richard.souza@ucsf.edu
UCSF is an Equal Opportunity/ Affirmative Action Employer
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