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Post Doctoral Fellow - Machine Learning Researcher, Informatics - Dept. of Radiology

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EmoryAtlanta, GA
  • 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 at the HITI (Healthcare Innovations and Translational Informatics) lab pride ourselves in working collaboratively with multiple researchers to bring innovation into healthcare.
  • Our broad themes of work are on datasets curation, testing of machine learning models, developing AI models for computer vision and natural language processing, and exploring fairness, explainability and bias of algorithms.
  • With 6 core faculty in radiology , perception/psychology studies and computer science, we push the boundaries of our research work to ensure we support the AI ecosystem to grow and develop AI products that are clinically useful.
  • For example, we are curating a large diverse mammographic dataset of 100,000 patients that has imaging, pathology and clinical outcomes for AI model development and inference.
  • We are developing a fusion model combining EHR data and imaging data for COVID-19 management, and are translating the models into clinical care for triage.
  • We are also curating a large dataset for hepatocellular carcinoma using semantic labeling across multiple institutions.
  • We are an implementing center for the American College of Radiology ACR AI lab, which provides a platform to perform federated learning across multiple sites in the USA. We are also a core research center for the newly funded MIDRC initiative to curate large ML datasets with RSNA and ACR.
  • Our work with Georgia Tech with Dr Mark Riedl is pushing the application of socio technical approach to AI explainability, allowing us to prioritize human values in the design of AI systems.
  • Working with Dr Ayer Turgay from Georgia Tech, we are analyzing large datasets to advance operations research and policy work like trauma care in the USA. With Dr Purkayastha from Indiana University we are funded by the NSF to explore the future of work, and are applying the concept of machine teaching with assemblage learning to explore the future of work augmented with AI systems.
  • With Dr Lungren and the Stanford AIMI lab we provide an opportunity for frequent conversations on current AI topics, as we work together on joint dataset curation and global health informatics.
  • With Dr Leo Celi from MIT we are pushing the boundaries where we use our expertise to assess bias in clinical systems and look at trust and the healthcare experience for patients.
  • As we survive 2 pandemics , one for COVID and another for systemic racism, we have refocused our efforts on studying bias in algorithms, and are excited for our collaborations with Dr Ziad Obermeyer to get better algorithmic measures that reduce bias in AI algorithms.
  • We are seeking a highly motivated Ph. D./postdoc candidate to work in one of the following areas of Artificial Intelligence/Machine
  • Computer Vision in Radiology imaging.
  • Natural language processing in Radiology reports and clinical notes
  • Human-machine interaction for decision making
  • Use of knowledge representation and data curation for ML in Healthcare
  • We look favorably on applicants who can demonstrate a knowledge of computer vision, machine learning, data curation using semantic web, ontologies, knowledge graphs, and who have strong programming and mathematical skills.
  • So what are we going to do for you ?
  • Our commitment to you is to provide you an opportunity for meaningful work , a clear path to mentorship, freedom to work on some personal projects of interest (as long as your code is saving lives), and to have the pleasure of working in a respectful environment where you are supported to be your best.
  • We love open source, and hence you will get to interact with students from all over the world and offer your guidance to nurture the future generation of learners.
  • And if you “chi” is like Dr Gichoya’s , then we want to have a joyous time with us
  • Within your statement, please make sure to discuss which area of research you are interested in and your academic background to support this.
  • In the first instance, candidates should apply online and discuss the applications with Dr. Judy Gichoya via email ().
  • To ensure the safety of our campus community, the COVID-19 vaccine is required.
  • For more information on the University and Hospital policies and potential exemptions, please see our website.
  • 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.
  • Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).
  • 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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