Job Listings
Postdoctoral Research Associate, Radiology and Imaging Services
Posting Number: req26573
Department: Radiology & Imaging Sci Dept
Location: Tucson Campus
Address: 1501 N. Campbell Ave., Tucson, AZ 85719 USA
Position Highlights
The Department of Radiology & Imaging Sciences at the University of Arizona invites applications for a Postdoctoral Scholar with expertise in MR pulse sequence development and advanced image reconstruction. The successful candidate will contribute to NIH-funded research focused on developing and validating quantitative magnetic resonance imaging (qMRI) methods and applying these techniques to clinically relevant problems.
Interested candidates are encouraged to apply and will join an active team focused on cutting-edge quantitative MRI method development and clinical translation.
- Visa sponsorship is not available for this position.
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Duties & Responsibilities
- Design, implement, and optimize MR pulse sequences on Siemens platforms for quantitative imaging.
- Develop, adapt, and evaluate modern reconstruction algorithms for accelerated and robust qMRI.
- Collaborate with a multidisciplinary team to translate methods to clinical research studies and analyze imaging data.
- Disseminate findings through peer-reviewed manuscripts, conference presentations, open/reproducible code, and the development and distribution of Siemens Work-In-Progress (WIP) packages where appropriate.
Minimum Qualifications
- Ph.D. in Electrical Engineering, Biomedical Engineering, Applied Mathematics, or a closely related field.
- Demonstrated experience with Siemens MR pulse sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based or deep learning reconstructions).
- Knowledge of radial data acquisition strategies, artifact mitigation methods, and their use in parametric imaging (e.g., T1/T2/T2* mapping).
Preferred Qualifications
- Strong programming skills (e.g., C/C++, Python, MATLAB) and familiarity with scientific software development best practices.
- Evidence of scholarly productivity and effective collaboration in interdisciplinary teams.
FLSA: Exempt
Full Time/Part Time: Full Time
Number of Hours Worked per Week: 40
Job FTE: 1.0
Work Calendar: Fiscal
Job Category: Research
Benefits Eligible: Yes - Full Benefits
Rate of Pay: NIH salary guidelines, Depends on Experience
Compensation Type: salary at 1.0 full-time equivalency (FTE)
Type of criminal background check required: Name-based criminal background check (non-security sensitive)
Number of Vacancies: 1
Contact Information for Candidates
Maria Altbach, maltbach@arizona.edu
Maria Telles, telles@arizona.edu
Open Until Filled: Yes
Documents Needed to Apply: Resume and Cover Letter
Special Instructions to Applicant
Application: The online application should be completed in its entirety. Blank or missing information may be considered an incomplete submission.
Cover Letter: Should clearly indicate how your skills and professional employment experience meet the Minimum and the Preferred qualifications (if applicable).
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