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Applications are invited for a PhD scholarship for research in enhancing cyber security using machine learning technologies. The scholarship is provided by the University of Newcastle under the Defence Industry Higher Degree Research Scholarships scheme.

Cyber security is related to the protection of systems, networks and data in cyberspace. It encounters ever-increased challenges including big data to deal with, too few qualified personnel to defend the system on time, too many false positive and fake alarms, and inefficiency in dealing with quickly and constantly evolving nature of security risks.

Machine learning is a type of artificial intelligence that provides computers with the ability to learn without being explicitly programmed. It focuses on the development of programs that can teach themselves to grow and change when exposed to new data.

Machine learning has been applied in various areas such as search engine and voice recognition. It has the high potency to enhance cybersecurity because it can efficiently deal with big data, detect real threats quickly, and learn what is appropriate activity and react.

The object of the research is to develop machine learning-based methodologies that deliver an enhanced cybers ecurity that can automatically detect, protect and mitigate cyber security violation.

Scholarship Level: PhD - Postgraduate

Application deadline: January 10, 2017.

Host institution: University of Newcastle, Australia.

Scholarship degree subject: PhD degree programme in the use of machine learning tectechnologies for enhancing cyber security.

Scholarship benefit(s): The scholarship meets the full tuition fees and overseas student health cover costs for a period of three years, as well as a relocation allowance of up to AU$1,520. It also provides a tax-free living allowance of AU$26,682 per annum (2017 rate, indexed annually).

Target group: This scholarship is available to International and Australian candidates.

Eligibility: The following eligibility criteria applies:

An Honours Class One or equivalent qualification;
Good in programmings such as Matlab, Python, Java or C++;
Research experience in machine learning and/or cyber security;.
Application information:

Interested applicants are advised to send an email expressing their interest and providing background, including a CV, undergraduate and Master degree transcripts (if available), research experience and publication list.

Scholarship URL: http://fundingforstudy.com/2016/12/10/phd-scholarship-enhancing-cyber-security-using-machine-learning-technologoies/