Postdoctoral Research Associate - Biomedical Engineering

Posted:
7/1/2024, 5:00:00 PM

Location(s):
St. Louis, Missouri, United States ⋅ Missouri, United States

Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior

Field(s):
AI & Machine Learning

Job Description

Position Summary

The Computational Medical Imaging lab at Washington University in St. Louis (WashU) is seeking highly motivated postdoctoral research associates for NIH-funded projects on developing computational methods for quantitative nuclear-medicine imaging. This is a highly exciting opportunity to impact both the technology and the clinical translation of quantitative imaging.

The postdoctoral research associate will conduct highly innovative and clinically impactful physics and artificial intelligence-based computational nuclear-medicine imaging research. The fellow will leverage the unique strengths of WashU, including access to state-of-the-art scanners and opportunities to collaborate with a diverse group of researchers across multiple disciplines from the Mallinckrodt Institute of Radiology in the School of Medicine and the Department of Biomedical Engineering in the School of Engineering and Applied Sciences at WashU. Opportunities to initiate new projects will also be available.

For more information on the lab, please visit jhalab.wustl.edu.

Information on being a postdoc at Washington University in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/.

Required Qualifications

Ph.D., M.D. or equivalent terminal or doctoral degree.

Preferred Qualifications

  • Ph.D. degree in electrical engineering, biomedical engineering, medical physics, or closely related areas.
  • Strong background in imaging physics.
  • Experience in machine learning, conducting physical phantom studies, and in working with clinical data will be advantageous.

Salary Range

Base pay is commensurate with experience.

Applicant Special Instructions

Position is available starting immediately. Interested candidates please go through the research and publications on our web page (https://jhalab.wustl.edu) and send (1) a research statement and (2) CV via email to Dr. Abhinav K. Jha at [email protected].

Questions

For frequently asked questions about the application process, please refer to our External Applicant FAQ.

Accommodation

If you are unable to use our online application system and would like an accommodation, please email [email protected] or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.

Pre-Employment Screening

All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.

Benefits Statement

Washington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at https://hr.wustl.edu/benefits/ to view a summary of benefits.

EEO/AA Statement

Washington University in St. Louis is committed to the principles and practices of equal employment opportunity and especially encourages applications by those from underrepresented groups. It is the University’s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.

Diversity Statement

Washington University is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment – fostering respect for all and welcoming individuals from diverse backgrounds, experiences and perspectives. Individuals with a commitment to these values are encouraged to apply.

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