Emory

  • Postdoctoral Fellow

    Job Number
    15726
    Job Type
    Regular Full-Time
    Division
    School Of Medicine
    Department
    SOM: Rad Onc: Admin
    This position may involve the following Health and Safety issues:
    Not Applicable
  • Description

    JOB DESCRIPTION: Helps design and conduct research within a specified field while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuit of a career. The specific area of research in which the trainee is mentored is determined by the department and laboratory of the Postdoc. Designs and evaluates experiments. Develops new ideas that promote current research. Prepares and publishes scientific manuscripts under the direction of the Principal Investigator. May be responsible for operation of specific equipment. May teach techniques to others, train, and supervise research staff. Positions are temporary appointments as a research trainee. The initial appointment is for one year, renewal expected if progress is satisfactory and funds are available. Appointments cannot exceed five years.

    MINIMUM QUALIFICATIONS: A doctoral degree or equivalent (Ph.D., M.D., ScD., D.V.M., DDS etc) in an appropriate field. Excellent scientific writing ability and strong oral communication skills. The ability to work effectively and collegially with colleagues. Additional qualifications as specified by the Principal Investigator.

    Additional Details

    Interested candidates should apply online and additionally send a copy of their CV to: Xiaofeng Yang, PhD, Assistant Professor, Radiation Oncology, Emory University, 1365 Clifton Road, NE, Atlanta, GA 30322, xyang43@emory.edu.-Candidates should have a PhD degree in Electronic Engineering, Biomedical Engineering, Medical Physics or Computer Science, or other related fields. The successful candidate should have a strong background on image analysis, pattern classification or machine learning. People with strong experience on machine learning are particularly encouraged to apply. Experience on medical image segmentation, classification and registration is highly desirable. Strong programming skills in C/C++ or Matlab are required.-72391BR

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