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Stochastic models in health care: Analysis, control, and optimization

Project Description

A PhD project in applied probability and/or operations research is offered at the University of Auckland, New Zealand, on “Stochastic models in health care: Analysis, control, and optimization” to be jointly supervised by Assoc. Prof. Ilze Ziedins, and Dr. Azam Asanjarani.

The research project will concentrate on queueing models that arise in health care applications. Patients in healthcare systems are often triaged into priority classes, and this project will compare various prioritization regimes, including the classic static priority regime and the accumulating priority regime. The project will consider optimal controls for sequences of queues (corresponding to stages of treatment), and the effects of introducing more realistic features into the model, such as multiple servers and abandonment.

The PhD will be based in the Department of Statistics. The successful candidate will benefit from membership of the probability group at the University of Auckland which aims to provide a supportive research environment, including regular probability seminars, visitors and other activities. The supervisors also have strong links with Engineering Science and the Business School at the University of Auckland, and with Auckland and Waitemata District Health Boards.
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The ideal candidate is expected to have a strong background in applied probability and/or operations research, and to have (or soon obtain) a BSc Honours or MSc in mathematics, statistics or related areas, at the level of Upper Second or First class, or equivalent. Please include your CV and academic transcript with your enquiry.

Funding Notes

The project is open to self-funded PhD students.

Competitive funding for the PhD may be awarded to suitably qualified candidates. Please see eligibility for the general scholarships offered by the University of Auckland:
(View Website)

International students are also encouraged to explore funding opportunities in their home countries for studying abroad.

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