Postdoctoral Research Fellows, Faculty of Science and Engineering

• Build your academic networks and your career
• Competitive salary and benefits
• 2 positions, 12 months, fixed term

THE ROLE
Macquarie Cyber Hub at Macquarie University. We are seeking two qualified Postdoctoral Research Fellows to join a team with an international reputation for producing high quality research outcomes in the areas of privacy-preserving record linkage (PPRL) and Robustness of artificial intelligence (AI) systems.
The scope of the first project is on building human-AI collaborative systems that are robust against adversarial attacks on such systems. The successful candidate will contribute to developing and defending against adversarial attacks against AI technologies and might target human-AI collaborative systems. The aim of the second project is to develop formal verification methods for Privacy preservation in Record linkage or machine learning-based data sharing and collaboration. The successful candidate will develop formal verification methods and provable privacy preserving algorithms including in the healthcare domain.
We very much look forward to hearing from applicants who have demonstrated excellence in their past research, have several of the technical skills required to match the demands of this project, and who are keen to engage in a project that involves collaboration with academic and industry partners.
About Us
The is a young and dynamic faculty driven by the spirit of discovery. Here we nurture the next generation of Science and technology innovators. From a handful of students on the University's first day, the Faculty now serves over 8,000 students across all our courses.
Our research and teaching addresses the big issues faced by society in Australia and globally - the changing environment, future materials and fuels, biotechnology, cyber security, to name a few.
The promotes a unique interdisciplinary approach in cyber security and forms an ideal ecosystem for its partners in business, government, research and education to collaborate effectively towards a resilient, secure and trustworthy cyber infrastructure.
Selection Criteria
To be considered for this position, applicants must address the selection criteria below, and attach your CV (including a list of two referees), a statement of research interests and achievements.
Essential

• A PhD in computer science or a related discipline and/or relevant experience with combination of qualifications and skills.
• Experience in research in cybersecurity, data privacy, and security and privacy of machine learning.
• Ability to undertake original experimental research, as evidenced by impactful and high-quality outputs.
• 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.
• Excellent oral and written communication skills.
• Ability for analytical thinking and independent problem solving.

Desirable

• Experience in adversarial attacks in machine learning
• Experience in privacy-preserving record linkage
• Experience in formal verification methods

Salary package: Level A Step 6 (PhD) from $102,501 to $109,852 p.a., plus 17% employer's superannuation and annual leave loading.
Appointment Type: Full-time, fixed term for 12 months with a possibility of further extension subject to funding.
Enquiries: Professor Dali Kaafar, Executive Director, Macquarie Cyber Hub at
Hassan Asghar, Senior Lecturer, Macquarie School of Computing at
Applications Close:
04/02/2024 11:59 PM