PhD Admission : The Department of Pharmaceuticals Outcomes & Policy (POP) in the College of Pharmacy (COP) at The University of Florida (UF), Gainesville has two fully-funded open positions for highly motivated PhD students. Research in these positions is focused on the intersection of decision and data science with healthcare policy and management. Prospective students are expected to join in Fall 2024. Assistantship will include a competitive stipend alongside a coverage of tuition, and other fees. These openings are part of the UF's Artificial Intelligence (AI) Initiative (https://ai.ufl.edu) aimed at advancing the University to a national and world-wide leader in the application of AI. This initiative is supported by a $70 million initial investment by NVIDIA to build the most powerful AI supercomputer in higher education in the world. Selected students will work with Dr. Md Mahmudul Hasan and engage in research projects focused on leveraging Artificial Intelligence/Machine Learning (AI/ML) to contribute to healthcare decision-making, health policy, and healthcare management. Specifically, research will focus on designing novel and efficient data-driven methodologies and predictive analytic models to answer important questions about clinical and pharmaceuticals outcomes. Research will also focus on developing empirically informed prescriptalytic models (integrating machine learning and optimization methods) for assisting in medical decision-making and designing personalized interventions instrumental to solve public health problems.Candidates will receive hands-on training in working in a high-performance computing environment in order to capitalize the power of large-scale healthcare administrative data and Electronic Health Records (EHR). Selected candidates will have opportunities to extend Dr. Hasan's current research on improving morbidity and mortality from opioid overdose and ensuring effective management of opioid addiction treatment. Potential disease areas to explore include but are not limited to poly-substance use, mental health disorder, diabetes, hypertension, etc.
Required Qualifications :
A Bachelor or MS degree in Engineering (Computer Science, Electrical and Electronics Engineering, Industrial Engineering, Biomedical Engineering), Data Science, Pharmaceutical Health Outcomes and Policy, Public Health, Health/Biomedical Informatics, Biostatistics, or other closely related fields.
Strong interest to conduct research at the intersection of Artifiial Intelligence/Machine Learning and statistical modeling with healthcare decision-making, health policy, and healthcare management.
Strong background in data science (Artificial Intelligence/Machine Learning)
.jpeg "PhD Admission")