The PhD Scholarship in Mathematical Optimization at the University of Sydney will support an outstanding research student to undertake doctoral studies in mathematical optimization.

Potential research topics will be on mathematical optimization broadly defined, including theory and algorithms for optimization, stochastic programming, robust/distributionally robust optimization and data-driven optimization, with applications to machine learning, statistics, finance and economics.

The scholarship includes a living allowance of $37,207 AUD per annum and tuition for up to 3.5 years, with the possibility of a six-month extension subject to approval.

The scholarship recipient will join the Discipline of Business Analytics at the University of Sydney. The Discipline brings together researchers in the fields of optimization, operations management, statistics, machine learning and econometrics. It is particularly suited for students with interests at the intersection of two or more of these fields.

Applicants are expected to have a Masters by research or Honours undergraduate degree. We invite applicants to send the following material via email to Dr Nam Ho-Nguyen (nam.ho-nguyen@sydney.edu.au):

• An up-to-date CV/resume, including contact details of two academic referees. We will notify applicants if we decide to contact referees.
• Copies of academic transcripts.
• (Optional) A short (2 page maximum) statement of purpose.