Post Doctoral Scholar

University of Miami • Miami, FL

1d

About The Position

The University of Miami/UHealth Department Medical Education has an exciting opportunity for a full-time Post Doctoral Scholar to work in Miami, FL. The Postdoctoral Scholar will be responsible for developing and leading research projects, conducting data analysis, and implementing programs in Artificial Intelligence in Medical Education. This role involves designing and executing innovative research initiatives, collaborating with interdisciplinary teams, and applying data-driven approaches to problem-solving. The scholar will also contribute to program development, mentor trainees, and support faculty in advancing research and educational objectives. This position is ideal for a motivated researcher seeking to develop expertise, drive impactful discoveries, and contribute to the advancement of knowledge in Medical Education and Artificial Intelligence. This joint postdoctoral fellowship between the Department of Medical Education and the Department of Informatics and Health Data Science at the University of Miami Miller School of Medicine offers a unique opportunity to advance the integration of artificial intelligence (AI), data science, and emerging digital technologies in medical education. The Postdoctoral Scholar will work at the intersection of digital health, informatics, and education innovation, leveraging advanced AI methodologies to transform health professions training. The Postdoctoral Scholar will serve as a key contributor to AI and data science initiatives across the departments and will: Support the development of new AI-driven curricula and assessment frameworks for health professions education. Design, develop and apply AI solutions including traditional machine learning models, natural language processing (NLP), and ontology-based frameworks to enhance simulation, curriculum development, and personalized learning in health professions education Develop and evaluate AI-powered tools such as chatbots, automated feedback systems, and adaptive and precision learning pathways, to enhance student engagement, knowledge retention, and competency-based education. Conduct cutting-edge research in AI-enhanced educational methodologies, data analytics, and digital learning platforms Lead and contribute to grant proposals and peer-reviewed publications to secure funding and disseminate findings focused on AI and informatics-driven educational innovations. Integrate large-scale educational and clinical datasets into AI-driven learning systems to improve decision-making and training efficacy using best practices in information systems management. Create, implement and evaluate the impact of AI-enhanced generative assessment tools to enhance simulation-based training, virtual patients, and decision support systems to ensure real-time skill development in clinical education. Collaborate with multidisciplinary teams across the Miller School of Medicine, UHealth, and industry partners to co-design and pilot new AI-driven curricula and educational technologies across the medical school and health system. Contribute to the development of institutional policy, ethical frameworks, and best practices related to the use of AI in medical education. Establish an independent research agenda under the mentorship of faculty from both departments, aligned with the university’s strategic vision for AI-powered medical education.

Requirements

• MD, Ph.D. or terminal doctoral degree in relevant field
• Proficiency in Python, and/or R statistical package.
• Proficiency in using LLM, model training, and Generative AI.
• Experience with supervised and unsupervised ML techniques
• Skill in collecting, organizing, and analyzing data.
• Ability to recognize, analyze, and solve a variety of problem
• Ability to exercise sound judgment in making critical decisions.
• Ability to work independently and reliably with different academic teams

Responsibilities

• Assists in planning and designing research experiments, establishes priorities, and recommends schedules.
• Presents research findings at local and national scientific conferences.
• Writes technical publications and reports.
• Designs and writes programs to perform analysis and produces written reports on results.
• Collects pilot data to help support new and competing renewal applications.
• Supervises undergraduate and graduate research students and performs literature reviews.
• Adheres to University and unit-level policies and procedures and safeguards University assets.
• Support the development of new AI-driven curricula and assessment frameworks for health professions education.
• Design, develop and apply AI solutions including traditional machine learning models, natural language processing (NLP), and ontology-based frameworks to enhance simulation, curriculum development, and personalized learning in health professions education
• Develop and evaluate AI-powered tools such as chatbots, automated feedback systems, and adaptive and precision learning pathways, to enhance student engagement, knowledge retention, and competency-based education.
• Conduct cutting-edge research in AI-enhanced educational methodologies, data analytics, and digital learning platforms
• Lead and contribute to grant proposals and peer-reviewed publications to secure funding and disseminate findings focused on AI and informatics-driven educational innovations.
• Integrate large-scale educational and clinical datasets into AI-driven learning systems to improve decision-making and training efficacy using best practices in information systems management.
• Create, implement and evaluate the impact of AI-enhanced generative assessment tools to enhance simulation-based training, virtual patients, and decision support systems to ensure real-time skill development in clinical education.
• Collaborate with multidisciplinary teams across the Miller School of Medicine, UHealth, and industry partners to co-design and pilot new AI-driven curricula and educational technologies across the medical school and health system.
• Contribute to the development of institutional policy, ethical frameworks, and best practices related to the use of AI in medical education.
• Establish an independent research agenda under the mentorship of faculty from both departments, aligned with the university’s strategic vision for AI-powered medical education.

Benefits

• The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more.

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree