Description:
- Design autonomous methods to detect, prioritise, and explain cyber threats in cyber-physical systems.
- Develop automated threat models, dynamic data fusion, risk estimation, and a digital cyber-twin testbed.
- 0.8FTE, fixed term position (3 years) at Academic Level B, based at the Melbourne CBD Campus
About the Role
Based at the Melbourne CBD campus, the Research Fellow will work on the ARC Linkage project "An Intelligent Resilience Framework for Cyber-Physical Systems," designing autonomous methods to identify, prioritise, and explain cyber threats and risks in cyber-physical systems. The role involves developing automated threat models, dynamic data fusion and risk estimation techniques, and a digital cyber-twin testbed, with a strong focus on industry-relevant outcomes. The Research Fellow may be required to work and/or be based at other campuses of the University as needed.
About You
Essential criteria
- Industry Experience: Demonstrated industry experience in managing, building, and testing cyber-physical systems (CPS), evidenced by involvement in several industry projects.
- Technical Experience: Exposure to Go, Python, Java or equivalent. Experience with microservices architecture and Kubernetes. Knowledge of AWS, Terraform, and other cloud technologies
- Work Ethic: A strong work ethic with the ability to work independently and as part of a broader team, including collaboration with industrial partners.
- Mentorship Ability: Demonstrated ability to mentor and/or supervise higher-degree research candidates.
- Interpersonal and Communication Skills: Excellent interpersonal and communication skills suitable for interacting with higher-degree research candidates, staff, and industry partners, coupled with a strong commitment to teamwork and multidisciplinary collaboration.
Desirable criteria
- Research Experience: Proven research experience in cybersecurity, demonstrated by a few top-tier publications in the field. The candidate should have minimal publications in lower-rate conferences and journals, with preference given to A*-rated venues.
- Research Track Record: An emerging track record and recognition for quality research outputs in cybersecurity, including the development of new research initiatives, securing competitive research funding, and establishing industry links.
Qualifications
A PhD degree in Computer Science related field is desirable.
Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check.
To Apply
Please submit your CV, cover letter and separately addressed Key Selection Criteria this position by clicking on the ' Apply' link at the top of this page.
For further information about this position, contact Professor Zahir Tari at zahir.tari@rmit.edu.au
Position Description - Postdoctoral Research Fellow
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Applications close on Wednesday, 11th of February.
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