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 for a period of 3 years appointment to support the School of Computing strategic goal to grow capablity in computational science. Applications are particularly invited from researchers with expertise are in high performance computing and/or high performance data, with demonstated impact in scientific areas synergistic with existing research groups within the University and whose breadth of vision reaches across traditional discipline silos. We 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. Longer term and/or ongoing appointment may be offered in exceptional cases subject to performance and budget availability as well the candidate’s demonstrated capability and desire to complement the School’s strategic agendas in teaching, research and broader engagement within the University and community. The purpose of this appointment in Computational Science is to: 1. Strengthen the School of Computing across all areas of computational science and high-performance computing and contribute to the strategic priorities of the School and the enduring mission of ANU. 2. Support the establishment of innovative, interdisciplinary, outwardly focused computational science programs blending education, research and engagement. 3. Support the development of partnerships with other scientific and engineering disciplines (within and outside ANU) and industry and engage with the wider research community to embed progressive engineering and computing research and education capabilities. 4. Contribute to development of state-of-the-art, unique programs that are globally relevant to equip our students with diverse and multidisciplinary skills. Specific duties required of the Level C Academic may include: 5. Undertake high impact collaborative and cross-disciplinary research that generates creative works and a body of unique intellectual knowledge in the areas of high-performance computing, domain-driven computational science, and/or data science as relevant to the Activity Cluster, School, and College, and aligned to the strategic directions of the School and College. 6. Make a strong contribution to the educational activities of the Activity Cluster and School. This includes, but is not limited to, the preparation and delivery of lectures, tutorials, short courses and workshops; the preparation and delivery of professional and executive education courses; the preparation of online material; marking and assessment; and consultations with students. This also includes, but is not limited to, supervision of research students and coursework students working on individual or group projects at undergraduate, honours, and graduate levels. 7. Take an active role in seeking and generating resources to support the development of deep and transformational expertise in fields relevant to the Activity Cluster, School and College. Achieve impact through engagement with a range of stakeholders and / or funding bodies and also through the preparation of a combination of state-level, national and international research proposals, industry funds and approved consultancy arrangements. Where appropriate, oversee the management of grants received for research projects. 8. Make a strong contribution to the engagement and impact activities of the School, with the aim to engage and activate a stakeholder community in academia / industry / start-ups / government / broader community, including communicating original, innovative and multi-disciplinary results in international refereed journals, academic seminars, national and international conferences, or appropriate fora for the field, and collaborate with other researchers at an international level. Also, leading outreach activities including to prospective students, research institutes, industry, government, the media and the general public. 9. Supervise, mentor and develop careers of less-senior academic and research staff in alignment with the professional development process at the ANU. 10. Maintain and actively promote high academic standards and collegiality in all education, research, impact, engagement and administration endeavours of the School, College, and University. 11. Proactively contribute more broadly to the operation of the School, College and University. This may include representation through committee membership. 12. Take responsibility for workplace health and safety and not wilfully place at risk the health and safety of another person in the workplace. 13. Other duties as required consistent with the classification level of the position
1. A PhD or equivalent in computational science, or a related area as relevant to the School, with an excellent track record of either impact or research as evidenced by appropriate outputs and measures of esteem in industry, government or academic environments. 2. Evidence of effective teaching, training, facilitation, mentoring or other relevant knowledge transmission activities and of the ability to shape and contribute significantly to delivery of the educational agenda in the Activity Cluster and School. 3. Evidence of effective engagement and impact activities involving government, industry, the wider research community and the general public, helping to establish collaborations and partnerships with a range of internal and external stakeholders. 4. Strong evidence of the development of enabling technologies for computational research in a specific discipline, e, such as scientific software or code available on a repository, and the adoption of these technologies by the community. 5. A strong orientation to 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. 6. A strong orientation to collaboration, team-based projects and interdisciplinary activities and interests. In particular, evidence of ability and experience in effectively establishing on-going support for industryacademia engagement, collaboration and partnerships. 7. A record of winning bids for competitive external funding to support individual and collaborative research, education and engagement activities, and the ability to identify similar opportunities for others to pursue and to provide mentoring in the process. 8. Outstanding 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. 9. Ability to provide leadership to early-career staff and 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. 10. 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 to opportunity to do so, a Level C 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 strong record of research output in academia, industry or government. The ANU conducts background checks on potential employees, and employment in this position is conditional on satisfactory results in accordance with the Background Checking Procedure which sets out the types of checks required by each type of position.
Classification: Academic Level C Salary package: $119,844 to $133,202, plus 17% superannuation Term: Full time, Fixed Term (3 years) - Develop advanced computational methods to solve challenging scientific problems - Work at the interface of scientific discovery, high performance computing and high performance data - Engage with world-class students at one of Australia's top universities
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. - A 1-2 page statement outlining your approach to coursework education and student project supervision. - A 1-2 page statement outlining your research objectives for the next 3 years if appointed. - (Optional) a statement addressing past and/or potential contributions to diversity through research, teaching, and/or service - A link to an example(s) of software and/or code you have developed or are actively developing. - Other documents, if required. To enquire about this position please contact the leader of the Computational Science activity cluster, Professor Amanda Barnard, E: [email protected] Applications close: 23 May 2021 11:55:00 PM AUS Eastern Standard Time