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.
Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more!
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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).
