UNSW Scientia PhD scholarship in "Quantum parameter estimation and system identification for quantum technologies"

Job type: 


Application deadline: 

Saturday, July 21, 2018

A new UNSW Scientia PhD Scholarship is available to work on the topic "Quantum parameter estimation and system identification for quantum technologies".

The Scientia scholarship (https://research.unsw.edu.au/unsw-scientia-phd-scholarship-scheme) is a generous scholarship scheme that provides a stipend of AUD\$40,000 for 4 years (tax-free) together with a support package of up to AUD\$10,000 per annum to provide financial support for career development activities such as conference travel and research collaboration. The scholarship's purpose is to attract the best potential talents from around the world to work on important contemporary research problems.

Information about the Scientia PhD project:

Quantum systems promise capabilities in sensing, communications and computing that significantly surpass those of current systems that are based on classical rather than quantum physics. The project will develop new data-driven methods for quantum parameter estimation and system identification for quantum systems that are of interest in quantum technological applications. The new methods will be applied to construct mathematical models for linear Gaussian systems that describe quantum optical and optomechanical systems for Gaussian continuous-variable quantum information processing, and for quantum noise spectroscopy, that is, the identification of the quantum noise acting on a quantum system.

The ideal candidate will have a degree in engineering, physics and/or statistics with knowledge of quantum mechanics and control theory. The candidate is expected to have strong analytical skills and a strong interest in the application of ideas and methods from control theory and statistics to quantum technological applications. A dual undergraduate degree in engineering and science (physics or mathematics/stastistics) or an undergraduate and a master's degree in related fields would be advantageous but not strictly required.

For further information, please contact Dr Hendra Nurdin at h.nurdin@unsw.edu.au and to apply please go to: