CSIRO’s Data61 is the digital technologies and data science arm of Australia’s national science agency. With around 400 staff and another 300 affiliate staff, Data61 represents one of the largest collections of R&D expertise in artificial intelligence, data science, cybersecurity, robotics, and software engineering in the world. With a focus on impact-driven science and technology, Data61 works across disciplines and industry sectors to solve some of the world’s greatest challenges through digital R&D.
In your role as Senior Principal Researcher in CSIRO, you will lead and conduct innovative research producing scientific achievements aligned with CSIRO’s strategies. You may be engaged in scientific activity ranging from fundamental research to investigating specific industry or community problems. You will have the opportunity to lead and conduct impactful research, build and maintain networks, mentor and collaborate with other researchers, and drive initiatives to secure research funding. You will contribute to the strategic research directions of the Information Security and Privacy group, initiate and pursue novel ideas, develop new concepts, and provide scientific leadership to your team and group.
Your duties will include:
Leading and performing ground-breaking research in Data Privacy and Confidentiality Preserving Technology and its intersection with Machine Learning and Artificial Intelligence. Managing R&D projects in the targeted application domain, to deliver world-class research outcomes, including high profile research publications, or novel software products or services. Actively building new collaborations and strengthening Data61’s network of industry partners, government agencies, and academics. Engaging with these stakeholders to initiate, develop, manage, and secure funding for significant collaborative research initiatives aligned with the group’s research strategy. Identifying research and industry trends in Data Privacy and Confidentiality and related research areas. Contributing to the design of the group’s scientific strategy, informing portfolio analysis, and influencing the Research Program, Business Unit, and CSIRO’s research directions based on such trends. Providing scientific leadership and mentorship to colleagues and students and coordinating, allocating, and managing resources to carry out innovative and impactful privacy research of strategic importance to CSIRO Data61. Be recognised as an international authority in data privacy and confidentiality and typically possess knowledge across a range of scientific disciplines. Represent CSIRO Data61 and the privacy research group both nationally and internationally, including delivering research talks and leading keynotes, disseminating scientific results and research outcomes, advising policymakers, and sharing scientific knowledge with non-scientific audiences. Location : Sydney, NSW
Salary : AU$ 174,458 – AU$ 219,038 per annum (pro-rata for part-time) plus up to 15.4% superannuation
Tenure : Indefinite
Reference : 74870
To be considered you will need:
Essential:
A Ph.D. in a discipline area related to Data Privacy and Confidentiality, such as computer science, data science, applied mathematics, machine learning and artificial intelligence, cybersecurity, or another related field with relevant evidenced experience in the theoretical areas underlying privacy enhancing technologies. An outstanding publication record, including multiple highly visible papers in top-ranked peer-reviewed conferences and journals focusing on data privacy and confidentiality or closely related research fields (e.g., computer science, machine learning, cybersecurity). An established reputation and credibility within the data privacy and confidentiality community, or a closely related field (e.g., data science, machine learning, cybersecurity) with evidence of community recognition. Demonstrated experience in research leadership via managing research teams and/or leading significant research initiatives with domain-focused outcomes. A demonstrated ability to lead such multi-disciplinary initiatives or projects, including being responsible for significant parts of the related research activities, managing teams, consulting stakeholders, and seeking to deliver the best outcomes for the project. Demonstrated record of applying data privacy and confidentiality technologies (or closely related fields, e.g., machine learning, cybersecurity, data science) to application domains (such as digital agriculture, digital services, cybersecurity, health, etc) with evidenced outcomes and impacts. Demonstrated ability to collaborate and work on multi-disciplinary challenges through successful collaborations with researchers from industry and academia. Demonstrated high level of oral and written communication skills with the ability to represent Data61 research externally to academia, government, and industry. Desirable:
A strong established network of collaborators in privacy and confidentiality technologies and related areas (e.g., machine learning, cybersecurity, computer science) or potential application domains (such as digital agriculture, digital services, cybersecurity, education, health, etc). Previous experience in leading and performing research in the responsible use of data, such as fairness, accountability, and trust for machine learning and artificial intelligence algorithms. A record of scientific innovation and creativity plus the ability and willingness to incorporate novel ideas and approaches into scientific investigations. Demonstrated ability to adapt own research directions and priorities to align with an evolving group and organisational research strategies. For full details about this role please view the .
Eligibility
Appointment to this role is subject to the provision of a national police check and may be subject to other security/medical/character requirements.
Flexible Working Arrangements
We work flexibly at CSIRO, offering a range of options for how, when and where you work.
