Closed-loop Model Predictive Control for Hypercapnic Respiratory Failure Patients University of Auckland in

This PhD project at the University of Auckland's Auckland Bioengineering Institute focuses on developing closed-loop model predictive control systems for patients suffering from hypercapnic respiratory failure. In current clinical practice, these patients are typically monitored and treated by clinicians only once per hour, resulting in suboptimal oxygen control and potentially adverse outcomes. The research aims to address this gap by designing and implementing advanced control algorithms that can continuously monitor patient status and automatically adjust oxygen delivery, improving patient safety and outcomes.

The project will involve mathematical modelling of respiratory physiology, development of predictive control strategies, and integration with medical devices for real-time patient monitoring. Candidates will work within a multidisciplinary team at the Auckland Bioengineering Institute, collaborating with clinicians and engineers to translate research findings into practical healthcare solutions. The research areas include bioengineering, mathematical modelling, control systems, and clinical decision support.

Applicants should have a strong background in bioengineering, biomedical engineering, mathematics, or a related field, with excellent quantitative and analytical skills. Experience in mathematical modelling, control systems, or medical device development is highly desirable. English language proficiency is required for non-native speakers. Funding details are not specified; candidates may need to seek external scholarships or discuss funding options with the supervisors.

Applications are accepted year-round. Interested candidates should apply online via the University of Auckland application portal and are encouraged to contact Dr. FA Argus or Dr. M Tawhai for further information about the project and application process. Please prepare a CV, academic transcripts, and a brief statement of research interests when applying.