Fatemeh Nosrat
1 week ago
Fully Funded PhD Opportunity in Operations Research and Optimization for Healthcare Applications University of Florida in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD opportunity for Fall 2027.
Country
United States
University
University of Florida
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About this position
Ph.D. Opportunity (Fully Funded) – Fall 2027 in the Department of Industrial & Systems Engineering at the University of Florida.
The opening is in operations research and optimization with applications in healthcare. The post is from Fatemeh Nosrat, Assistant Professor, who is directly recruiting motivated PhD students for her research area.
Research interests and keywords: operations research, optimization, healthcare analytics, industrial engineering, mathematical analysis, real analysis, stochastic modeling, statistical learning, artificial intelligence, machine learning, tree-based methods, neural networks, reinforcement learning, Python, MATLAB.
Eligibility highlights: applicants should have B.S./B.A. and M.S./M.A. degrees in operations research, mathematics, industrial engineering, or related fields, with a GPA of 3.8 or higher. Strong research motivation, attention to detail, teamwork, communication skills, and solid preparation in the listed quantitative courses are expected. Experience with data, AI/ML, research, or publications is preferred. U.S. residency is listed as a preferred qualification.
Funding: the position is described as fully funded.
How to apply: email [email protected] with the subject line “Fall 2027 PhD Position.” Include a 50-word self-introduction, CV, GRE/TOEFL scores if available, unofficial transcripts, and work samples/publication examples. The post asks applicants not to send long AI-generated emails.
Application timing: Fall 2027 intake. No explicit deadline date is stated in the post.
Funding details
Fully funded PhD opportunity for Fall 2027.
What's required
Applicants must have B.S./B.A. and M.S./M.A. degrees in operations research, mathematics, industrial engineering, or related fields, with a GPA of 3.8 or higher. Strong motivation, commitment to research, attention to detail, strong work ethic, excellent communication and teamwork skills are required. Candidates should have solid knowledge of or strong interest in operations research, optimization, mathematical analysis, real analysis, stochastic modeling, and statistical learning, with strong grades in these courses. Knowledge of or interest in data, artificial intelligence, and machine learning methods such as tree-based methods, neural networks, and reinforcement learning is expected. Proficiency in Python or MATLAB is required. Preferred qualifications include research experience and/or journal publications, a completed master’s degree in the relevant fields, experience in operations research and optimization, and U.S. residency.
How to apply
Email [email protected] with the subject line “Fall 2027 PhD Position.” Include a very brief 50-word self-introduction, your CV, GRE/TOEFL scores if available, unofficial undergraduate and graduate transcripts, and work samples and/or publication examples.
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