Προκήρυξη:
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
DESIRED SKILLS AND EXPERIENCE
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.
Before the formal application please contact the relevant supervisor listed in the description of the individual projects to discuss your suitability. Further PhD subject relevant information can be found on the following supervisors’ www pages: http://bogdan-gabrys.com and http://katarzyna-musial.com.
HOW TO APPLY: Interested candidates should click here.
ABOUT THE EMPLOYER
UTS has a bold vision to be a world-leading. We are a dynamic and innovative in central Sydney, consistently ranked the top young in Australia. With a culturally diverse campus life and extensive international exchange and research programs, UTS prepares graduates the workplaces today and tomorrow.
We're known our industry focus, practice-based teaching and learning, real world research and our location. With state--the-art campuses and facilities, we’re preparing students to become global thinkers, leaders and innovators.
UTS has a strong commitment to diversity and inclusion, including a focus on increasing gender equity in STEMM through our participation in the Australian pilot the Athena Swan program and initiatives such as our Research Equity Initiative and we very much welcome applications from women these roles.