PhD Scholarships, University of Technology Sydney, Australia (2018)

Applications are invited for FOUR 3 year, fully funded PhD research studentships to work on the following projects:

- Automatic composition, optimisation and adaptation of multi-component predictive systems
- Development of robust and scalable hyperbox based machine learning algorithms
- Adaptive approaches for predictive modelling of complex multilayered networks
- Multiple spreading processes in real-world dynamic complex networks

The students will be joining the Advanced Analytics Institute in Sydney and will also have an outstanding opportunity to gain a diverse experience of both academic and commercial environments for which the AAi is very well known.

The studentship carries a basic remuneration of $27,082 pa tax-free and a waiver of the full-time research student fee. There are no restrictions on the nationality of the applicants and the selection will be based on the candidate’s qualifications and experience.

Applicants should have a very strong mathematical and computational background and hold a good Bachelor or Master’s degree in computer science, mathematics, physics, engineering, statistics or a similar discipline. Additionally the candidate should have very strong programming skills and experience using any or ideally a combination of Java, C++, Python, R and Matlab. Knowledge of and exposure to the big data platforms and technologies will be an advantage.

Further details:
PhD Scholarships, University of Technology Sydney, Australia (2018)