Research Fellow, Machine Learning Privacy and Security

Overview:

• Full time, fixed term (1 year) position available

• Salary Academic Level B1 ($109,770) + 17% Superannuation

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

About You

The School of Computing Technologies is seeking a post-doctoral Research Fellow in Machine Learning Privacy and Security for a fixed term position. In this position you will carry out independent and/or team research which has a significant impact in the fields of cybersecurity and trustworthy artificial intelligence and be acknowledged at a national level as being influential in expanding the knowledge of your relevant discipline. 

The Research Fellow will be based in the research group of Professor Xun Yi, Professor Karin Verspoor, Dr Xiaoning (Maggie) Liu and collaborate with a cybersecurity industry partner. This position provides an opportunity for an emerging researcher to build their research career in the context of research with strong practical value and social impact.

The Research Fellow’s role is primarily to design, implement, and evaluate secure and privacy-preserving machine learning solutions that are aligned to the project objectives:

1) modelling maliciously secure trust model with distributed trusts;

2) designing secure and lightweight machine learning protocols and systems;

3) software engineering, deployment and evaluation of proof-of-concept systems to various operational environments or application contexts.

The Research Fellow will embed their research expertise into the life of the School and will be expected to engage in high quality research projects with significant outputs, participate in supervising PhD students, and support efforts to attract further research funding. The Research Fellow will establish high-quality research and collaboration networks across RMIT and with local and national, internal and external partners, to support their own professional development and to increase the impact of research outcomes.

To be successful in this position, you’ll have:

• Experience in privacy-preserving machine learning through privacy-enhancing techniques is preferred; Other trustworthy AI expertise on safety, security, and privacy, and/or advanced data analytics or machine learning experience may also be considered.

• Awareness of the challenges of working with and the need to protect sensitive data.

• Applied orientation with desire for translational impact.

• Strong programming skills and the ability to implement practical systems.

• Emerging track record and recognition for quality research outputs on topics relevant to project objectives as evidenced by publications.

• Demonstrated ability to supervise higher degree by research candidates.

• Ability to build effective networks with colleagues.

• Excellent interpersonal and communications skills appropriate for interacting with higher degree by research candidates, colleagues, both technical and non-technical collaborators, coupled with a strong commitment to teamwork and multidisciplinary collaboration.

• Ability to contribute to existing project and School research areas, development of new research initiatives, competitive research funding, and industry links.

Mandatory: PhD or equivalent in relevant field.

Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check.

About the STEM College

STEM College is a community of exceptional STEM researchers, teachers, inventors, designers, and game-changers, supported by talented professional staff. We offer higher education programs across all STEM disciplines at the Bachelor, Master and PhD levels, and ensure our students experience an education that is work-aligned and life-changing.

Further information on STEM College in this link:

https://www.rmit.edu.au/about/schools- colleges/stem-college

To Apply 

Please submit your CV, cover letter and response to the Key Selection Criteria for 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 Aleks, Senior Advisor at Aleksandra.besia@rmit.edu.au