Erasmus University Rotterdam
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Fully Funded PhD in Optimization of Emergency Response Systems Using Mathematical Modelling and Machine Learning Erasmus University Rotterdam in Netherlands
Degree Level
PhD
Field of study
Computer Science
Funding
The PhD is fully funded and offered as salaried employment, with salary and benefits provided under the Dutch Universities’ collective agreement.
Deadline
Jan 15, 2027
Country
Netherlands
University
Erasmus University Rotterdam
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About this position
PhD in Optimization of Emergency Services under Decentralized Capacity Sources at Rotterdam School of Management, Erasmus University Rotterdam, in the Netherlands.
The project focuses on optimizing emergency response systems through mathematical modelling, machine learning, simulation, optimization and game theory. The research addresses how emergency services can be designed and coordinated when capacity sources are decentralized, combining operations research with computational and analytical approaches.
The PhD is situated within the Erasmus Research Institute of Management and its Supply Chain Management group. The research environment connects operations management, business analytics, industrial engineering, mathematics and computer science, offering an interdisciplinary setting for studying complex emergency-service and supply-chain decisions.
The position is a fully funded salaried PhD employment opportunity with benefits under the Dutch Universities’ collective agreement.
Funding details
The PhD is fully funded and offered as salaried employment, with salary and benefits provided under the Dutch Universities’ collective agreement.
What's required
Applicants should hold a master’s degree in operations research, operations management, business analytics, mathematics, industrial engineering, computer science, or a related field. Programming skills and good English are required.
How to apply
Apply through the linked RSM vacancy for the PhD in Optimization of Emergency Services under Decentralized Capacity Sources. Applications are evaluated as they arrive, so applicants should submit before 15 January 2027.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.