Full-Time

Postdoctoral Scholar

Posted on 2/23/2026

University of Miami

University of Miami

No salary listed

Company Does Not Provide H1B Sponsorship

Miami, FL, USA

In Person

Category
AI & Machine Learning (2)
,
Required Skills
LLM
Python
R
Machine Learning
Data Analysis
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.

Company Size

N/A

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A

Your Connections

People at University of Miami who can refer or advise you

INACTIVE