Postdoc Research Fellow in Cyber Security Research
Work type: Full Time Vacancy type: Internal Vacancy, External Vacancy Categories: Academic - Research Only / Fellowship
The Role Macquarie University is seeking a suitably qualified Postdoctoral Research Fellow to join a talented and pro active research team within the Optus Macquarie University Cyber Security Hub. Reporting to the Executive Director of the Cyber Security Hub, you will: • In collaboration with senior academic staff, carry out innovative, impactful research of strategic importance to the Cyber Security Hub leading to novel and important scientific outcomes. • Publish research outcome in prestigious conferences and journals in the domain of privacy preserving technologies and related areas. • Engage with Undergraduate and Higher Degree Research students to foster collaboration amongst the team members and jointly work on innovative privacy-related technologies. • Design, evaluate and build privacy-preserving algorithms for machine learning. About You You will have completed (or soon to complete) a PhD in a related discipline. You will assist and collaborate with a team of world-renowned researchers to work on different aspects of Privacy Enhancing Technologies (PETs) from the development of theoretical frameworks with cryptographic or information theoretic approaches, to the empirical and data-driven analysis of real-life applications and datasets. The successful applicant will build trustworthy, reliable and secure systems within the Data Security and Privacy R&D Program led by the Information Security and Privacy Group of the Department of Computing at Macquarie University. They will work closely with collaborators from the Department of Computing, Macquarie Law School, and Center for Health Informatics. About Us The Optus Macquarie University Cyber Security Hub within the Faculty of Science and Engineering is an interdisciplinary network launched in August 2016 by Macquarie University with Optus as the founding partner. About the Project Privacy, Law and Ethics in Machine Learning as a Service is a Cybersecurity Hub Research Program Project under the Data Privacy and Security program. The project led by researchers from the Information Security and Privacy Group in Macquarie University and in collaboration with Macquarie Law School, and Center for Health Informatics, will (a) quantitatively assess information leakage when machine learning models are trained on sensitive health data by translating societal and legal expectations of privacy into their technical counterparts, and (b) to explore machine learning training techniques that are robust against data update scenarios stipulated by new privacy laws and ethical use of data (e.g., individuals requesting withdrawal of their data). The expected outcomes of the project are a knowledge sharing workshop with industry, new machine learning algorithmic techniques, and scholarly research publications on the findings. To Apply To be considered for this position, please apply online and attach your resume and a separate cover letter that outlines how you meet to the selection criteria below: Essential
Desirable
General Enquiries: Dali Kaafar, Executive Director on dali.kaafar@mq.edu.au Applications Close: Sunday 6 September 2020 at 11:55pm 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. Advertised: 15 Jul 2020 AUS Eastern Standard Time Applications close: 06 Sep 2020 AUS Eastern Standard Time
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