Post Doctoral Fellow - Computational Imaging and Machine Learning

Job Number
Job Type
Regular Full-Time
School Of Medicine
SOM: BME: Admin
Campus Location (For Posting) : City
Location : Name
Emory Campus-Clifton Corridor
This position may involve the following Health and Safety issues:
Working in a laboratory
Required Documents
List of References

Discover Your Career at Emory University

Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the diversity and excellence of our academic community.


Postdoctoral Fellow Position - Computational Imaging and Machine Learning



The Postdoctoral Fellow will help design and conduct research in AI & machine learning for medicine while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuit of an Academic career. The Postdoctoral fellow will assist the PI in designing and evaluating experiments for research focused on new AI and machine learning tools for the diagnosis, prognosis and prediction of treatment response for a number of types of cancer and other diseases. The Postdoctoral fellow will also develop new ideas that promote current research and prepare and publish scientific manuscripts under the direction of the Principal Investigator. May be responsible for operation of specific computational equipment. Positions are temporary appointments as a research trainee. The Postdoctoral Fellow is an entry level position in which the research fellow receives training under close supervision of faculty in the Emory University, School of Medicine, Department of Biomedical Engineering.

Interested candidates should ideally have a background in artificial intelligence/computer vision/machine learning programming, ideally with either Python or MATLAB. Staff will be working on development of image analytic/machine learning algorithms for clinical applications.

A successful candidate would have a PhD degree in in Biomedical Engineering, Computer Science, Electrical Engineering or related field and a demonstrable record of accomplishment in medical image analysis, organ-specific imaging, computer vision, and image registration and feature extraction. Experience in MATLAB or Python programming is required.

• The Postdoctoral Fellow performs a wide range of highly technical and complex research duties and has documented scientific achievements and increasing technical, management, leadership, and professional expertise necessary to advance basic and/or translational research programs.
• Demonstrates knowledge of research and experimental platforms for analyzing, design and interpreting results.
• Investigates and recommends potential alternative approaches to improve the quality of results of basic and/or translational research.
• Aids in writing publications, IACUC, IRB, Biosafety and other approval documents.
• Oversees quality assurance of research conducted by other team members.
• May assist in grant and other funding applications as necessary and appropriate, or with approval of the responsible faculty director, may have their own research projects and/or have full responsibilities for specific areas of instrumentation or methodology development and user support.
• With the approval of the responsible faculty director, may be principal investigators on funded proposals. Performs other responsibilities as required.

• PhD or MD and five years of professional level experience OR Master's degree and ten years of professional level experience in a technical or research lab. Laboratory experience will be based on area of assignment.
• Internship experience or experience prior to attaining the qualifying degree is not considered eligible work experience for this job classification.
• NOTE: Applicants applying with a MD or equivalent degree must be eligible for a Georgia medical license to meet the minimum qualifications.
NOTE: This role will be granted the opportunity to work from home regularly but must be able to commute to Emory University location as needed. Emory reserves the right to change this status with notice to employee.



Emory Supports a Diverse and Inclusive Culture

Emory University is dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, gender, genetic information, age, disability, sexual orientation, gender identity, gender expression, and veteran's status. Emory University does not discriminate in admissions, educational programs, or employment on the basis of any factor stated above or prohibited under applicable law. Students, faculty, and staff are assured of participation in University programs and in the use of facilities without such discrimination. Emory University complies with Executive Order 11246, as amended, Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity and affirmative action. Emory University is committed to achieving a diverse workforce through application of its affirmative action, equal opportunity and nondiscrimination policy in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Inquiries regarding this policy should be directed to the Emory University Department of Equity and Inclusion, 201 Dowman Drive, Administration Building, Atlanta, GA 30322.

Emory University is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to request a reasonable accommodation, please contact the Department of Accessibility Services at 404-727-9877 (V) | 404-712-2049 (TDD). Please note that one week advance notice is preferred.


Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
Share on your newsfeed

Connect With Us!