Postdoctoral Fellow, Department of Computing
- Salary Package: Postdoctoral Research Fellow (Level A step 6-8) from $95,706 to $102,570 per annum, plus 17% employer’s superannuation and annual leave loading
- Appointment Type: Full-time, fixed term for 3 years, with a possibility of further renewal subject to funding
- Macquarie University (North Ryde) location
An exciting opportunity to join the Department of Computing within the Faculty of Science and Engineering at Macquarie University. We are looking for an enthusiastic researcher with expertise in Internet privacy and security analytics, Machine learning security and privacy analysis, or distributed systems security.
The successful candidate will conduct high-quality research activities within the Optus Macquarie University Cyber Security Hub, led by Prof. Dali Kaafar, to research on topics including but not limited to:
- Internet privacy and security analytics, to automatically detect and quantify privacy violations and security threats in the Web and Mobile Apps. The candidate will exploit active and passive measurements and design pipelines to automatically detect, quantify and highlight security and privacy threats. They will use big-data approaches, automatic crawling, and machine learning as the fundamental building blocks to identify malicious activities, security vulnerabilities and leaks of private personal information.
- Machine learning security and privacy analysis, to quantify the information leakage of AI platforms, as well as the associated security risks under adversarial settings. The candidate will (i) identify privacy and security risks in Machine Learning algorithms, focusing on sensitive real-world applications such as biometric recognition, and (ii) propose novel defense approaches for trustworthy, private, and secure machine learning.
- Distributed systems security, to contribute to projects and carry out research to develop robust detection and prevention techniques to make security decisions when faced with complex security problems in distributed systems.
- The candidate will work effectively as part of a multi-disciplinary research team, to undertake independent scientific investigations and carry out associated tasks under the guidance of senior Researchers and Academics.
To be considered for this position, please apply online and attach your CV and a separate cover letter (1-2 pages) that outlines how you meet the selection criteria below.
- A PhD (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as Computer Science, Mathematics or statistics, Cryptography and Information Security/Privacy.
- Demonstrated knowledge and skills in one or more of the following areas: Internet measurements, machine learning, data analysis and knowledge discovery, Information Theory, Applied Cryptography, Data security.
- Demonstrated experience in the collection and/or processing of large data sets, development of efficient algorithms on large datasets, and development of security or privacy-preserving algorithms, protocols for processing and sharing data or analytics and large-scale measurement studies of privacy and security risks.
- Proven ability to conduct Cutting-edge research in AI, Cyber Security and Privacy with publications in the top tier security conferences IEEE S&P, ACM CCS, NDSS, Usenix Security, or similar level conferences or journals in other domains.
- A record in science creativity and the ability and willingness to incorporate novel ideas and approaches into scientific investigations communicated to the public, industry and fellow research communities.
- Ability to work within collaborative teams towards research objectives with excellent interpersonal skills.
- Demonstrated experience in engaging with external industry and government partners with outstanding verbal and oral communications skills.
- Ability to foster a nurturing environment for research students including the provision of research student supervision.
- Demonstrated capacity to work independently and as part of a team.
- Previous experience or research in ML security & privacy, Web and mobile-app measurements and security/privacy analysis, and privacy-preserving machine learning algorithms.
- Previous experience in developing security, privacy and trust solutions for distributed systems architecture and platforms.
- The ability to work effectively as part of a multi-disciplinary, potentially regionally dispersed research team, plus the motivation and discipline to carry out autonomous research.
- Familiarity with software development processes and a few mainstream programming languages such as C, Python, Java and Web programming.
If you're already part of the Macquarie Group (MQ University, U@MQ, MQ Health, MGSM), you'll need to apply through your employee Workday account. To apply for this job: Login to Workday and go to the Careers App > Find Jobs.
Applications Close: Sunday, 8 August 2021 at 11:00pm
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