PhD Candidate: AI-Driven Operating Room Schedule Optimization
4 weken geleden
Optimizing the utilization of operating room (OR) resources is crucial for the sustainability of surgical care. The demand for surgical care exceeds the supply, which is constrained by budgetary restrictions, staff shortages, and limited OR availability. Enhancing the effective utilization of these OR resources will reduce the cost of surgical care and ensure a sustainable future.
Key Responsibilities- Collaborate with surgeons and anesthetists to understand OR workflow and develop data-driven solutions.
- Analyze surgery duration data to inform AI-driven prediction models.
- Design and implement AI-powered prediction models to optimize OR scheduling.
- Develop a real-time tool to indicate the probability of overtime for each operating room.
This position is part of the Sustainable Health Program 'Smart OR2030' within Convergence Health & Technology. The project aims to leverage technological advancements to optimize the use of surgical care resources and improve the sustainability of surgical care.
Qualifications and Skills- A master's degree in mathematics, econometrics, computer science, or a closely related field.
- Experience with operations research and AI techniques.
- Strong communication skills and the ability to work collaboratively in an interdisciplinary team.
- A temporary position for 4 years.
- A gross monthly salary of €3,017 in the 1st year and €3,824 in the 4th year (scale OIO).
- Working from home is an option.
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