Classification Title: Postdoctoral Associate Job Description: We are seeking a motivated and well-qualified deep learning researcher to join the Intelligent Critical Care Center (IC3) at the University of Florida as a postdoctoral associate. The ideal candidate will have extensive experience with data science and deep learning, and will be proficient in one of PyTorch, TensorFlow, or Keras. Your role would be to lead, develop, and publish impactful research applying data-driven methods for answering clinical questions and improving patient care. Healthcare data will come from a variety of sources including unstructured electronic health records (EHR) including structured and unstructured data such as clinical text notes, social determinants of heaths, and physiologic time series data. Your role includes data standardization/harmonization/optimization/integration, annotation and adjudication of all electronic health records datasets for clinical outcomes, development of processes for capturing high-frequency clinical data, enhancement of the functionality of real-time intelligent platform with continuous data streaming and federated learning for model sharing, development and validation of machine learning and deep learning algorithms and artificial intelligence tools, implementation of interpretable and explainable models, implementation and evaluation of federated algorithms in multi-center datasets, and preparation of progress reports, manuscripts, and grants. Our research spans a wide range of domains and clinical applications. The successful candidate will make effective contributions towards ongoing research projects, and will design, implement, and lead new clinically relevant projects. IC3 is multi-disciplinary center focused on developing and providing sustainable support and leadership for transformative medical AI research, education, and clinical applications to advance patients' health in critical and acute care medicine. The center addresses an unprecedented opportunity for world-leading ambient, immersive and artificial intelligence (AI2) research and innovation to transform the diagnosis, monitoring, and treatment for critically and acutely ill patients using the multimodal clinical and research data and resources stemming from UF Health (UFH), one of the Florida’s largest health care systems. Expected Salary: Salary is negotiable, commensurate with education and experience. Minimum Requirements: PhD degree in computer science, biomedical engineering, statistics, or related field. Preferred Qualifications: Extensive experience with machine learning, deep learning, text mining, and data science Proficient in Python and one of PyTorch, TensorFlow, or Keras Successful track record of innovative research and publication Excellent written and verbal communication skills Ability to work both independently and in a team Special Instructions to Applicants: Please attach curriculum vitae and three letters of recommendation. Final candidate will be required to provide official transcript to the hiring department upon hire. A transcript will not be considered "official" if a designation of "Issued to Student" is visible. Degrees earned from an education institution outside of the United States are required to be evaluated by a professional credentialing service provider approved by the National Association of Credential Evaluation Services (NACES), which can be found at http://www.naces.org/. The University of Florida is an equal opportunity institution dedicated to building a broadly diverse and inclusive faculty and staff. Application must be submitted by 11:55 p.m. (ET) of the posting end date.