Research Fellow – Engineering – Dr. Leng at Mayo Clinic

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights

Medical: Multiple plan options.
Dental: Delta Dental or reimbursement account for flexible coverage.
Vision: Affordable plan with national network.
Pre-Tax Savings: HSA and FSAs for eligible expenses.
Retirement: Competitive retirement package to secure your future.

Responsibilities

The Department of Radiology at Mayo Clinic in Rochester, Minnesota is seeking a highly qualified postdoctoral Research Fellow for the CT Clinical Innovation Center, a worldwide leader in the field of CT imaging. Using state-of-the-art clinical and pre-clinical CT systems, our highly productive team investigates a wide range of CT-related topics, with a focus on developing novel, high-impact CT technologies and translating them into clinical practice, such as photon counting detector (PCD) CT and artificial intelligence (AI). The Research Fellow would conduct research on one or more of the following areas: (1) photon counting detector CT: technical development and clinical applications; (2) AI in image quality enhancement, multi-energy analysis, and multi-modal deep learning; (3) image guided radiation therapy with a focus on novel imaging techniques; (4) 6DCT in dynamic imaging; (5) cardiovascular CT imaging for diagnosis and risk prediction. The Research Fellow would have the opportunity to collaborate with radiologists, medical physicists, and AI scientists on various research projects. Additionally, the Research Fellow will have opportunities to explore various aspects of clinical medical physics, potentially including shadowing experiences. Please attach your cover letter with your application.

Qualifications

Applicants for this position must hold a Ph.D. degree in Medical Physics, Computer Science, Electrical and Computer Engineering, Biomedical Engineering, or a related field. Candidates should have an established background in X-ray physics and imaging science. Skills in the development of machine learning algorithms for medical imaging tasks are desirable. Proficiency in programming, e.g., Python/Matlab/C++, is essential. Candidates must have a record of research publications and have excellent oral and written English communication skills. The successful candidate will be expected to present research findings at professional conferences, publish papers in peer-reviewed journals, and help grant applications.

Exemption Status

Exempt

Compensation Detail

$64,787.84 – $80,990.21 annually
Education, experience and tenure may be considered along with internal equity when job offers are extended.

Benefits Eligible

Yes

Schedule

Full Time

Hours/Pay Period

Schedule Details

Monday – Friday 8 am to 5 pm

Weekend Schedule

International Assignment

Site Description

Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the “EOE is the Law”. Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee’s Form I-9 to confirm work authorization.

Recruiter

Victoria Knight

Source link
{link}