Faculty Position in Deep Learning MRI Acquisition and Reconstruction

NY-New York

Memorial Sloan Kettering Cancer Center

Careers and jobs in oncology and cancer care for graduates, students, medical professionals, scientists, operations professionals, hospital administrators, and nurses. [job title], [job title]

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Company Overview

The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe. One of the world’s most respected comprehensive centers devoted exclusively to cancer, we have been recognized as one of the top two cancer hospitals in the country by U.S. News & World Report for more than 30 years.


Vaccination for COVID-19 and Influenza (flu) is mandatory for all MSK staff. Staff are considered fully vaccinated upon completion of a primary vaccination series for COVID-19 (i.e., one dose of a single dose vaccine or a final dose of a multi-dose vaccine series). Exceptions from the COVID-19 and Influenza (flu) vaccine requirements are permitted for those who request and receive an approved medical, religious, or fully remote exemption.  Requests for exemption can take up to two weeks to review. Vaccination or an approved exemption is required to start work. 


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Job Description


The Department of Medical Physics at Memorial Sloan Kettering Cancer Center (MSK) is offering an Assistant or Associate level faculty position in deep learning MRI acquisition and reconstruction.  


The specific goals for this position are: 

  • To develop novel MRI acquisition and reconstruction methodology using artificial intelligence (AI) techniques to reduce scan time without decreasing imaging quality and to enable free-breathing scans with increased image quality for cancer applications, including detection, diagnosis, and treatment response evaluation.  
  • Translate the developed methodology to the routine clinical MRI program at MSK in collaboration with an industrial partner and clinicians.   

    The successful candidate will have the opportunity to collaborate with physicists and engineers in the department of Medical Physics, as well as radiologists and oncologists, and other clinicians at MSK. The candidate will also be able to submit independent grant proposals and establish a research lab. 


    Facilities: Research time on state-of-the-art clinical MRI scanners (1.5T and 3T GE Healthcare). Access to high performance computer servers with GPUs for the development of deep learning reconstruction algorithms. MSK is located on the Upper East Side of Manhattan and is recognized as a world leader in clinical cancer care and research. 


    Requirements: Candidates should have a PhD in Engineering, Computer Science, Physics, or a related area, with at least two years of experience after graduation. The successful candidate must demonstrate expertise in deep learning development, potential for future exceptional research including obtention of extramural funding, and clinical translation in collaboration with an industrial partner. Experience in the application of deep learning techniques to MRI is a plus. 


    To apply: Please submit a CV and Career Statement to Dr. Ricardo Otazo, Vice-Chair for Research and Chief of MRI Physics, Department of Medical Physics at otazotoj@mskcc.org. The career statement should describe past achievements and outline brief goals related to this position. 


    The deadline for applications is March 15, 2023. 



    MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.  


    Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.


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    Tags: Computer Science Deep Learning Engineering Industrial PhD Physics Research

    Perks/benefits: Career development

    Regions: Remote/Anywhere North America
    Country: United States
    Job stats:  45  11  0

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