The scholarship is being offered by the University of Wollongong and will contribute to an Australian Research Council Linkage Project that involves close collaboration with industry to develop innovative software testing technologies for machine learning, big data, and cyber security applications.
The successful candidate will conduct research to explore the interplay between software testing and machine learning. On the one hand, the student will develop innovative software testing techniques to solve difficult problems in testing machine learning applications such as those for self-driving cars, big data analytics, image and natural language processing, as well as cyber security.
Location:
AustraliaBenefits
- The scholarship is for three (3) years full-time for doctoral candidates
- A stipend of $AUD 27,082 per annum (tax-free and indexed annually) plus tuition fee waiver will be provided
- For more information please check the official website.
Eligibilities
- Students who will be commencing their Ph.D. study at the University of Wollongong are eligible
- Applicants are expected to commit to full-time study and have the capacity to be
based at the Wollongong campus - Both domestic and international prospective students are encouraged to apply
- Applicants should hold an Honours 1 or high 2A (or equivalent) undergraduate degree in a relevant discipline related to computer science or software engineering, or the equivalent combination of professional experience and academic qualifications, or a research master’s degree related to computer science or software engineering
Application Process
Applicants should attach the followings:
- CV with the names and email addresses of two referees
- Cover letter
- Copy of academic transcript
- A statement outlining relevant experience and expertise
- A 2-3 page summary of their proposed project (3 pages maximum)
All the above documents will be submitted to Associate Professor George Zhou by email at [email protected]
Application Deadline: February 28, 2018
Application ClosedOfficial link