Student projects

Computational Physiology / Cardio-Renal Axis

Combining clinical meta-analysis and computational modeling, this project aims at refining our understanding of the coupling between cardiovascular and renal function in health and diseases, accounting for its complex hormonal and biomechanical inter-regulations. Of specific interest is the understanding of the evolution in renal and cardiac function in patients undergoing renal transplant.

The Ph.D. student will work within the Swiss national flagship project NCCR Kidney.CH and in tight collaboration with the University Hospitals of Bern, Geneva and Zurich; at the interface between fundamental physiology and clinical applications.

The ideal candidate will have expert knowledge in numerical methods and in systems and controls with emphasis on their application to physiological systems. Knowledge of the cardiovascular and renal anatomy and physiology is of advantage. A master’s degree in engineering, computational sciences or a related field and excellent English language skills are mandatory.

The Interface Group offers a creative, international work environment, outstanding computational infrastructure, integration into a large research network and access to experimental and clinical data for model parametrization.

Candidates are encouraged to apply to Dr. Diane de Zélicourt, diane.dezelicourt@physiol.uzh.ch, with a motivation letter, CV, transcripts and contact information of two references.

Information

Type: Ph.D. thesis

For further information or to apply, please contact
Dr. Diane de Zélicourt
diane.dezelicourt@physiol.uzh.ch

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