The School of Computing is unique in Australia. It includes a creative mix of staff and students that embrace the breadth of computer science profession. It is a diverse and vibrant community dedicated to discovery and to making knowledge matter. It contains world-class academics undertaking high-quality research, training of research students and delivering coursework teaching programs.
This position is a fixed term appointment for a period of three years to research and engineer solutions and frameworks within one of the two project areas: Accessible AI and Privacy Through Extremely Distributed Machine Learning. Applications are particularly invited from researchers and software engineers with interests and expertise in the areas of Data Science, Machine Learning and Software Engineering. The positions are situated within the School of Computing, aligning with a mandate to explore new approaches to educating future Data Scientists through Software Engineering. We particularly welcome and develop diversity of backgrounds, experiences and ideas and encourage applications from individuals who may have had non-traditional career paths, who may have taken a career break or who have achieved excellence in careers outside of academia. Project 1: Accessible Artificial Intelligence Delivering new technology to make Artificial Intelligence, Machine Learning and Data Science accessible. Developing a new software framework that enables state-of-the-art machine learning, artificial intelligence and data science technology as it emerges from research to be readily available and easily utilised. Project 2: Privacy Through Extremely Distributed Machine Learning Inventing the future for privacy through massively distributed Machine Learning. Research how encrypted data can be massively distributed and yet still available for machine learning algorithms to build artificial intelligence systems and Data Science processes delivery significant benefit to the individual whilst contributing to improved society. The successful candidate will be working on one of these projects.
SELECTION CRITERIA The breadth and depth of this role are illustrated in the following selection criteria. While candidates should ideally meet all selection criteria, the School of Computing will consider all applications that demonstrate alignment with its mission. 1. A PhD or equivalent in Data Science, Machine Learning or Artificial Intelligence, or a related area as relevant to the School, with a competitive track record of either impact or research as evidenced by appropriate outputs and measures of esteem in industry, government or academic environments. 2. Strong experience in Software Engineering, programming in languages such as R and/or Python, and experience with and motivation for publishing open source software. 3. An ability to contribute to impact and engagement activities involving government, industry, the wider research community and the general public, including involvement in collaborations and partnerships with a range of internal and external stakeholders. 4. A demonstrated alignment with the School’s culture and work environment including a commitment to enhancing diversity and inclusion, characterised by an orientation to collaborative research; team-based projects; interdisciplinary activities and interests; strategic decision making; commitment to the success of peers and the team; and an ability to contribute to the strategic priorities and activities of the School and College. 5. Excellent communication skills with the ability to inspire a wide range of audiences, including in crossdisciplinary areas and to foster respectful and productive working relationships with staff, students and colleagues at all levels. Skills in other forms of communication (such as visual communication, podcasting, video, etc.) or a willingness to innovate in these areas will be well regarded. 6. Evidence of effective teaching, training, facilitation, mentoring or other relevant knowledge transmission activities and of the ability to contribute significantly to delivery of the educational agenda in the Activity Cluster and School. 7. Ability to mentor and develop colleagues to achieve goals in alignment with the College’s strategic priorities, particularly in relation to building a diverse and inclusive community life. 8. A demonstrated high-level understanding of equal opportunity principles and a commitment to the application of these policies in a University context. Consistent with their relative opportunity to do so, a Level B Academic will have a relevant doctoral qualification or equivalent accreditation and standing together with subsequent research (or R&D) experience. This may not apply to candidates coming from different fields such as industry or government. Once in the role, there will be an expectation of academic excellence, making an outstanding contribution to research and, in this particular position, the ability to collaborate with internal and external stakeholders outside of your domain. A position at this level will require a demonstrated record of research output in academia, industry or government.
Classification: Academic Level B Salary package: $99,809 - $113,165 plus 17% superannuation Term: Full time, Fixed Term (3 years)
Canberra, ACT Applicants must apply online via the ANU recruitment portal and should upload the following separate documents: - A detailed curriculum vitae including a full publication list and the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees you can complete these online when prompted in the application form. - A statement addressing the selection criteria consisting of: - A 1-2 page statement outlining your experience in software engineering and contributions you have made to the open source software community. - A 1-2 page statement outlining your research objectives for the next 3 years if appointed, specifically related to one of the two projects identified above. - A 1-2 page statement outlining your approach to education and opportunities to enhance and innovate in education. - Other documents, if required Applications which do not address the selection criteria may not be considered for the position. The successful candidate will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results. Applications close: 09 May 2021 11:55:00 PM AUS Eastern Standard Time To enquire about these positions please contact the Chief Scientist, Software Innovation Institute, School of Computing, Professor Graham Williams T: +61 2 6125 3195, E: [email protected]