Postdoctoral Fellow in Distributed Systems Security and Privacy Job Vacancy in Macquarie University North Ryde NSW – Updated today

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Company Name : Macquarie University
Location : North Ryde NSW
Position :

Job Description : PRIMARY DETAIL
Salary Package: 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 12 months, with a possibility of further renewal subject to funding
Macquarie University (North Ryde) location
THE ROLE
An exciting opportunity to join the Macquarie University Cyber Security Hub. We are looking for an enthusiastic researcher with expertise in distributed systems security and privacy, secure multi party computation, and/or Machine learning robustness including confidential computing and security.
The successful candidate will conduct high-quality research activities within the Cyber Security Hub at Macquarie University, led by Prof. Dali Kaafar, to research on topics including but not limited to:
Machine learning robustness, with an emphasis on security and privacy, with the objective to quantify 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.
Secure multi party computation with the objective to study and develop provably private and secure distributed data analytics platforms with applications to real-life challenges including health informatics, intelligent transportation systems, critical infrastructure, critical Defence grade platforms, etc.
Internet privacy and security, aiming to automatically detect and quantify privacy violations and security threats in the Web and Mobile Apps. The candidate will exploit active and passive measurements approaches and design methodologies to automate detection, risk assessment and control of security and privacy threats.
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 Apply
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.
Essential
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, PETS, 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.
Desirable
Previous experience or research in ML security & privacy, Secure multi party Computation, Web and mobile-app 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.
Enquiries : Professor Dali Kaafar at dali.kaafar@mq.edu.au and Shideh.Modabber at shideh.modabber@mq.edu.au
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:
13/03/2022 11:59 PM
Equity & Diversity Statement
At Macquarie University, we are committed to providing a working environment where each individual is valued, respected and supported to progress. Our priority is to ensure culture, policies and processes are truly inclusive and that no-one is disadvantaged on the basis of their Aboriginal and Torres Strait Islander identity, gender, culture, disability, LGBTIQA+ identities, family and caring responsibilities, age, or religion. We encourage everyone who meets the selection criteria and shares Macquarie University’s values of scholarship, empowerment and integrity to apply.
Learn more about our progress towards Equity, Diversity and Inclusion.
https://staff.mq.edu.au/work/diversity-inclusion

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