Post Doctoral Fellow – Biomedical Informatics
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.
We are seeking a skilled postdoctoral fellow whose expertise lie in machine learning applied to temporal domains. The candidate is expected to make novel contributions to clinical research and machine learning. Specifically, this position will involve developing sophisticated machine learning models that can be applied in real-time. The postdoctoral fellow 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 in computer science, electrical engineering or relevant fields. 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: The Emory University Department of Biomedical Informatics is recruiting for a post doctorate in the area of machine learning applied to healthcare. Working in a team of clinicians and PhD students this represents an opportunity to advance an academic career with strong mentorship and collaboration across schools and units.
Strong motivation for developing robust and generalizable machine learning models and a strong sense of responsibility to complete research in a timely manner are required. The position will be for one year in the first instance but with a strong likelihood of continuing for several years, with career progression. Candidates for post doctorate positions are expected to work proactively, participate in research discussions, publish scholarly research papers, and disseminate research results.
Strong programming skills in Python, Tensorflow/PyTorch are essential; Experience with computing in cloud environments is a strong plus; some experience with high performance computing and database administration is desired but not required.
Interested applicants should submit current CV via the online application form and send a copy with a statement of their career aspirations and interests to rkamaleswaran [at] emory.edu.
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.
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