Assistant Research Scientist-Dept. of Radiology
EDUCATION REQUIRED
- Ph.D. in electrical and computer engineering, biomedical engineering, computer science, or a related field.
EXPERIENCE REQUIRED
- Minimum 4 years of experience in quantitative medical image analysis, machine learning, micro-architectural imaging, musculoskeletal imaging, and pulmonary imaging.
- Experience with Linux and Windows required.
- Experience with programming in C++, MATLAB, Python, and at least one common deep learning library.
- Demonstrable experience in medical image processing, analysis, and classification.
- Familiarity with common software libraries for image processing (such as ITK) and deep learning (such as TensorFlow).
- Ability to write clean, consistent, and well-documented code.
- Excellent oral and written communication skills, and ability to document projects and provide status reports.
- Excellent team and interpersonal skills. Ability to both take direction and work in a self-directed manner, as well as in a collaborative team environment.
DESIRABLE QUALIFICATIONS
- Demonstrable experience in developing custom deep learning workflows.
- Demonstrable experience in traditional machine learning techniques, e.g. Support Vector Machines (SVMs), applied to medical image analytics.
- Experience with use of multiple GPUs on desktop as well as high-performance GPU compute clusters for deep learning.
- Experience with ITK, VTK, SimpleITK, Slicer
- Experience with statistical analysis of experimental outcomes.
- Working knowledge of DICOM and other medical image formats.
- Experience in mentoring students.
- Experience in presenting work at leading national and international forums.
Application Process: To be considered, applicants must upload a resume and a cover letter (under submission relevant materials) that clearly address how they meet the listed required and desired qualifications of this position.
Job openings are posted for a minimum of 14 calendar days. Applications will be accepted until position is filled.
Successful candidates will be subject to a criminal background check.
Equal opportunity/affirmative action employer
The University of Iowa is an equal opportunity/affirmative action employer. All qualified applicants are encouraged to apply and will receive consideration for employment free from discrimination on the basis of race, creed, color, religion, national origin, age, sex, pregnancy (including childbirth and related conditions), disability, genetic information, status as a U.S. veteran, service in the U.S. military, sexual orientation, gender identity, or associational preferences.
Persons with disabilities who need assistance or accommodations with the application or interview process may contact University Human Resources/Faculty and Staff Disability Services, (319) 335-2660 or fsds@uiowa.edu. For jobs in UI Health care, please contact UI Health care Leave & Disability Administration at 319-356-7543.
