Research Fellow, ARC Discovery (Cybersecurity, Malware Detection)

Posted:
7/4/2024, 5:00:00 PM

Location(s):
Victoria, Australia ⋅ Melbourne, Victoria, Australia

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
AI & Machine Learning

Overview:

  • Full-time, fixed term (3 years) position available

  • Salary Academic Level B1 + 17% Super

  • Based at the Melbourne CBD campus, but may be required to work and/or be based at other campuses of the University

About the Role

We are looking to hire a Postdoctoral Research Fellow (PDR) to be employed as part of the newly awarded ARC Discovery grant (titled “Preventing Exfiltration of Sensitive Data by Malicious Insiders or Malware”). The PDR will take the major responsibility for designing, implementing, and testing new methods for data exfiltration. Extensive publications are not needed, but a few in reputable cybersecurity venues (e.g., A* conferences/journals) are desirable.

About You

To be successful for this appointment, you will have:

  • Strong and recognised track record for high quality research outputs in the areas of cybersecurity, development of new research initiatives and involved in competitive research funding and industry links

  • Extensive research and/or industry experience in cybersecurity, preferably around malware detection.

  • Extensive experience in large-scale systems design, implementation, and testing.

  • A strong work ethic, and the ability to work well independently, and as a member of a broader team, including with industrial partners.

  • Demonstrated ability to mentor and/or supervise higher-degree research candidates.

  • Excellent interpersonal and communications skills appropriate for interacting with higher degree by research candidates, staff and industry, together with a strong commitment to teamwork and multidisciplinary collaboration.

Qualifications

Mandatory: A PhD degree in Computer Science related field is required.

Note: Appointment to this position is subject to passing a Working with Children Check and other checks as required by the specific role. Maintaining a valid Working WithChildren Check is a condition of employment at RMIT.

About the School

The School of Computing Technologies is a centre for digital innovation, world class research, and education in STEM via streamlined collaboration across relevant disciplines.

The School is led by the Dean, School of Computing Technologies, and has three disciplines:

  • Cyber Security & Software Systems (CSSS)

  • Data Science & Artificial Intelligence (DSAI)

  • Interaction, Technology & Information (ITI)

Our PhD students and faculty conduct world leading research in many areas of Computing and Computing applications, including in:

  • Search and Recommendation

  • Human-Computer Interaction

  • Artificial Intelligence and Natural Language Processing

  • Data Science, Machine Learning, and Big Data Analysis

  • Cybersecurity

  • Distributed Computing

  • Software Engineering

  • Digital Health

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, please see the Position Description hyperlinked below or contact Professor Zahir Tari via email [email protected]

https://www.rmit.edu.au/content/dam/rmit/au/en/careers/position-descriptions/research-fellow-arc-discovery.pdf  

Please note, if you are viewing this advert from an external site, please click ‘apply’ and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page.

#LI-Hybrid

Applications Close:

18 Aug 2024 11.59 pm

RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community. 

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