Postdoctoral Associate in Clinical Artificial Intelligence and Health Informatics
We are seeking a motivated and qualified machine learning researcher to join the Intelligent Health Lab (i-Heal) at the University of Florida as a postdoctoral associate. Our group focuses on transforming patient care in the intensive care unit (ICU) by developing autonomous monitoring tools using advanced machine learning techniques.
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 electronic health records (EHR), sensor time series and waveforms, and patient videos. Our research spans a wide range of domains and clinical applications, including intelligent ICUs, physiological and cognitive monitoring, sensors, mHealth, and more. The successful candidate will make effective contributions towards ongoing research projects, and will design, implement, and lead new clinically relevant projects.
- PhD degree in computer science, statistics, or related fields
- Significant experience in machine learning, deep learning, and/or data science
- Proficient in Python
- Track record of innovative research and successful publication
- Excellent written and verbal communication skills
- Ability to work both independently and in a team
- Experience with healthcare data is a plus
- Experience with PyTorch, TensorFlow, or Keras is a plus
- Experience working with EMG signals, time series, or computer vision is a plus
The University of Florida is an inclusive, equal opportunity employer offering attractive conditions and benefits with a collegial and family friendly working environment. Women and minority applicants are encouraged to apply. Completion of this postdoctoral assignment will position you on the cutting edge of clinical AI and healthcare data science research.
This position is available immediately. Support is available for at least 2 years and can be extended based on candidate performance and availability of funds. Interested applications should send a cover letter describing current research interests and career goals along with an updated CV to Mr. George Omalay (firstname.lastname@example.org).