Job Summary

A postdoctoral position is available in the Departments of Biomedical Engineering and Internal Medicine at The University of Texas at Austin, for a highly qualified and motivated scientist with interest in both the experimental and theoretical aspects of quantitative magnetic resonance imaging. The successful applicant should have a Ph.D. in Biomedical Engineering, Electrical Engineering, Physics, or related discipline, and previous experience in quantitative imaging with clinical MRI scanners. Knowledge and experience in pulse sequence development and optimization are required, as are excellent verbal and written skills.

Our research program spans the gamut from computational modeling to pre-clinical development to clinical application in both the academic and private healthcare environments. The successful applicant will have the opportunity to actively participate in all three of these areas. The position requires the ability to develop and implement all aspects of a clinical study with support from a highly collaborative team. In addition to leading their own projects, the post-doctoral fellow will also have the opportunity to actively mentor undergraduate and pre-doctoral students. Imaging resources include a Siemens Skyra 3T, Bruker BioSpec 7.0T MRI, Xenogen IVIS Spectrum, and Siemens Inveon PET-CT.

The position is immediately available and is renewable for up to three years. Salary will be determined by experience and University guidelines. The University of Texas at Austin is an equal opportunity employer and applications from women and minority candidates are strongly encouraged. To apply, please submit a cover letter, CV, statement of research goals and career objectives (no more than one page), and a list of three individuals who can serve as professional references to:

Thomas Yankeelov, Ph.D.
W.A. “Tex” Moncrief Professor of Computational Oncology
Professor of Biomedical Engineering and Internal Medicine
Director, Cancer Imaging Research, Livestrong Cancer Institutes
Director, Center for Computational Oncology, Institute for Computational and Engineering Sciences
The University of Texas at Austin
107 W. Dean Keeton, BME Building
1 University Station, C0800
Austin, Texas 78712
yankeelov@ices.utexas.edu