The Division of Pulmonary & Critical Care Medicine at the University of Virginia is seeking applications for a post-doctoral Research Associate beginning in Summer 2025 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.  The initial appointment will be for 1 year, with a possible extension depending on the availability of funds.  The individual will be involved in ongoing research projects involving developing, implementing, optimizing, and applying MR-based techniques for pulmonary diseases such as COPD, interstitial lung disease, asthma, pulmonary hypertension, and cystic fibrosis in human and preclinical modeling, including murine models. 

Postdoctoral employment is temporary and is normally limited to an individual who has been awarded a Ph.D. or equivalent doctorate within the previous five years and who will be involved in full-time research or scholarship at the University. Employment as a Postdoctoral Research Associate is viewed as training and is preparatory for a full-time academic or research career, is supervised by a senior scholar, and allows the appointee to publish the results of his/her research or scholarship during the training period.

The position is a 12-month appointment with the possibility of renewal contingent upon satisfactory performance and the availability of funding.

For further information, please contact Y. Michael Shim, MD, Department of Medicine, Division of Pulmonary & Critical Care Medicine, via e-mail at yss6n@uvahealth.org.

Minimum Qualifications:
Education: Ph.D. or equivalent in engineering, physics, chemistry, or any biomedical science

Preferred Experience:

A strong background in the theoretical and experimental aspects of MR and biomolecular mechanisms is preferred, as well as demonstrated research experience in hyperpolarized-gas MR, including involvement in the 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.  Additional expertise in using animal models with MRI is highly desirable.

The position will remain open until filled.  This is an exempt-level, benefitted position. The University will perform background checks on all new hires prior to employment.  A pre-employment health screening is required. This position is located in Charlottesville, VA.

To Apply:

Please apply through the UVA job board, and search for R0067293. Internal applicants must apply through their UVA Workday profile by searching 'Find Jobs'.   Complete an application online with the following documents:

CV/ResumeCover letterTranscript of graduate courseworkContact information for 3 references

Upload all materials into the resume submission field, multiple documents can be submitted into this one field. Alternatively, merge all documents into one PDF for submission.  Applications that do not contain all required documents will not receive full consideration.

For questions about the application process, please contact Jessica Russo, Senior Recruiter, at sxv9zv@virginia.edu.

For more information on the benefits available to postdoctoral associates at UVA, visit postdoc.virginia.edu and hr.virginia.edu/benefits.

The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, 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 or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex, pregnancy, sexual orientation, veteran or military status, and family medical or genetic information.