View Full Version : 2 postdoctoral positions available in quantitative cartilage andbone imaging at the University of California, San Francisco

05-13-2010, 07:26 AM
The Musculoskeletal Quantitative Imaging Research group at the
University of California San Francisco has two opening for postdoctoral
fellows to conduct 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. The combined use of imaging techniques along with mathematical
modeling has made it possible to predict not only biochemical properties
but also tissue mechanics in health and disease. In addition, combined
use of other imaging modalities such as micro-computed tomography has
broadened our horizon of achievable measures. 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.

*Facility:* Two research dedicated GE 3T MR system, a GE 7T whole body
MR scanner, a Varian 7T animal MR, and 500MHz and 600MHz NMR
spectrometers, a multi-detector Philips CT scanner devoted to full time
research. Brand new VICON 10-camera motion analysis system, AMTI force
platforms and Visual 3D post-processing methods available. In addition,
a SCANCO micro-computed tomography system for specimen, SCANCO
micro-computed tomography in vivo scanner and a Fourier Transform
Infra-red Imaging system is available. Computer facilities are primarily
UNIX, Macintosh, PC based and are extensively networked.

Please visit our website at www.mqir.ucsf.edu
for additional details.


Position #1: Candidates with imaging experience preferred, but not
mandatory. Ph.D. or equivalent degree. Interest in translational
research extending high field, quantitative MR imaging, in vivo ÁCT
imaging and pushing the limits of available technology, required.
Experience in laboratory work, including research on human subjects is
desirable. Candidates must have excellent communication skills, be
highly organized with extreme attention to detail, and must consistently
meet deadlines.

Position #2: A PhD degree in physics, biomedical engineering, or related
field; background in MR physics and image processing; strong programming
skills with C, C++, Matlab and IDL; strong communication skills in
written and verbal English. Experience in pulse sequence programming or
image processing algorithm development is a plus.

Classification and salary will depend on the qualifications of the
applicant consistent with NIH guidelines.

*Postdoctoral Mentors: *

Dr. Sharmila Majumdar, Ph.D.

Vice Chair for Research, Professor, and

Director Musculoskeletal and Quantitative Imaging Research Group (MQIR),

Department of Radiology and Biomedical Imaging, UCSF

Professor Dept. of Orthopedic Surgery, UCSF

and Professor, Dept. of Bioengineering, UC Berkeley

Dr. Xiaojuan Li, Ph.D.

Assistant Professor

Department of Radiology and Biomedical Imaging, UCSF

Deptartment of Bioengineering, UC Berkeley

* *

Interested applicants please send CVs directly to:

Richard Souza, PhD, PT

Assistant Professor

Department of Physical Therapy and Rehabilitation Science

Department of Radiology and Biomedical Imaging


UCSF is an Affirmative Action/Equal Opportunity Employer and committed
to a diverse workforce.

Richard B. Souza, PhD, PT, ATC, CSCS
Assistant Professor
Department of Physical Therapy and Rehabilitation Science
Department of Radiology and Biomedical Imaging
Department of Orthopaedic Surgery
Director of Research, UCSF Human Performance Center
email: richard.souza@ucsf.edu
lab website: http://mqir.ucsf.edu/