[Opt-Net] PhD Opportunities at the University of Newcastle, Australia

[Patrick Siarry]

We are looking for an outstanding PhD student for the following project:

Title: Machine Learning for Malware Detection, Classification and Protection in Mobile Devices
The proliferation of mobile devices such as smartphones and tablets has created a new age of ubiquitous computing. These mobile devices can be found in our everyday life and are used extensively by most of us. The popularity of mobile devices, however, has not gone unnoticed by malicious attackers. There are already well-documented cases of malicious software (malware) that silently steals user information and/or creates havoc in mobile devices (e.g., DroidDream, which was discovered in over 50 applications on the official Android platform in March 2011). To make things worse, researchers also found that Android's built-in security features are largely insufficient, and that even non-malicious programs can (unintentionally) expose confidential information. In this project, investigations into the role of machine learning for detecting and classifying malware in mobile devices will be carried out. In addition, the project will develop novel approaches with the aim to protect mobile devices from malware. This project involves various stages of work, which include code analysis, feature selection and extraction, classifier selection and optimisation, as well as development of malicious protection techniques.

If you have:

* completed at least four years of undergraduate study and have attained Honours Class 1 or equivalent;
* proven English proficiency (IELTS of at least 6.5);
* international peer reviewed research publications;
* a master degree by research (or with strong research components);
- research experience in machine learning and/or optimisation;

then please get in touch by sending a Resume in PDF to Raymond.Chiong at newcastle.edu.au (replace at with @) by February 5, 2016 (extended).

* essential/compulsory
- desirable

                If you meet the above essential criteria and are interested in topics such as evolutionary games, production scheduling, optimisation and forecasting, you may also get in touch.

Prospective students from China are encouraged to look at this link: http://www.newcastle.edu.au/research-and-innovation/graduate-research/phd-and-research-degrees/china-scholarship-council-csc

______________________________________________

Dr. Raymond Chiong, SMIEEE
The University of Newcastle, Australia
http://www.newcastle.edu.au/profile/raymond-chiong
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