Research Associate in Pulmonary & Critical Care Medicine
Job location: Charlottesville, VA
Employment Type: Full-time
Posted data: 2019-04-26
The Division of Pulmonary & Critical Care Medicine at the University of Virginia is seeking applications for a post-doctoral research associate beginning in Summer 2019 to work on the development and application of imaging methods for pulmonary disease, with a particular emphasis on magnetic resonance (MR) imaging using hyperpolarized 129Xe gas. Initial appointment will be for 1 year with possible extension depending on the availability of fund. The individual will be involved in on-going research projects involving the development, implementation, optimization and application of MR-based techniques for pulmonary diseases such as COPD, interstitial lung disease, asthma and cystic fibrosis.
A Ph.D. or equivalent in engineering, physics, or chemistry is required, as is a strong background in the theoretical and experimental aspects of MR. Demonstrated research experience in the field of hyperpolarized-gas MR is also required, including involvement in acquisition and post-processing analysis of ventilation and dissolved-phase 129Xe data. Experience in pulse sequence programming on Siemens MR scanners is highly desirable, but not required.
To apply for the position, attach a cover letter, current C.V., transcript of graduate coursework, and the names of three references. For further information please contact Y. Michael Shim, MD, Department of Pulmonary & Critical Care Medicine, via e-mail at [email protected]. The position will remain open until filled.The University of Virginia, including the UVA Health System and the University Physician’s Group are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.