The University of Florida's Department of Industrial & Systems Engineering is seeking motivated students for a fully funded PhD research assistant position under the supervision of Assistant Professor Fatemeh Nosrat. The research focus is on operations research and optimization with applications in healthcare, including healthcare analytics, cancer care analytics, data-driven decision making, stochastic optimization, inverse optimization, pricing, and revenue management. The position is ideal for candidates interested in applying advanced mathematical and statistical methods to real-world healthcare problems. Applicants should have a strong academic background in operations research, mathematics, or industrial engineering, with a minimum GPA of 3.5. Required skills include solid knowledge of probability theory, statistics, mathematical and real analysis, stochastic modeling, operations research, optimization, and statistical learning, with high grades in these subjects. Experience or interest in machine learning methods such as tree-based methods, neural networks, and reinforcement learning is also important. Proficiency in programming languages such as Python, R, or MATLAB is necessary. Preferred qualifications include research and journal publication experience, a Master's degree in a relevant field, and hands-on experience in operations research and optimization. The position offers full funding, including tuition coverage and a stipend. The research group is active in areas such as healthcare analytics and cancer care, with recent publications in top journals. The application deadline is December 28, 2025, for Fall 2026 entry. Interested candidates should email Professor Nosrat at [email protected] with the subject 'Fall 2026 PhD RA Position', a brief self-description, and attach their resume/CV, GRE/TOEFL scores, unofficial transcripts, and examples of work or publications. More information about Professor Nosrat's research can be found on her academic page . This opportunity is ideal for students passionate about applying quantitative methods to healthcare and seeking to join a dynamic research environment at a leading US institution.