The Biological Data Science Institute (BDSI) is a academic unit in the College of Science that sits at the interface of data science and biological science. It aims to recruit, build and coordinate expertise in biological data science to accelerate the translation of biological data to biological knowledge. Operating in the space between traditional disciplines, the BDSI is positioned to collaborate across the ANU campus and with partner organisations to solve problems that have impact.
Multiple BDSI positions are being recruited in formal partnership with CSIRO to support their Future Science Platform in Machine Learning and Artificial Intelligence (MLAI FSP). This cohort will work with top scientists and engineers to develop, extend and leverage MLAI approaches to advance analytical frontiers in areas with direct applications to animal and plant breeding. The Postdoctoral Fellows will be embedded in a collaborative FSP research team at the CSIRO Black Mountain site adjacent to the ANU Acton campus, while also being members of the ANU Biological Data Science Institute. These positions are being recruited into the “Bioprediction” activity within the MLAI FSP. The Postdoctoral Fellows will be part of a multidisciplinary team working to develop and apply generalised statistical and analytical methods for automating the analysis of biological data to address problems of data integration, uncertainty, bias, dependent variables and samples, and heterogeneous data types. This may include the formal evaluation of methodology to demonstrate its functionality, performance, robustness and fitness for purpose in the application context. There is funding to support this position for three years. In their role as an Academic Level A the Postdoctoral Fellow is expected to: 1. Undertake independent research of broad relevance to biological data science with a view to generating original and innovative results or methodologies. This may include publications in refereed journals, presentation of research at seminars and at national and international conferences, and collaboration with other researchers at a national level. This includes working as part of a team on an externally funded project subject to deadlines. 2. Collaborate with senior staff to actively seek and secure external funding, assist to prepare and submit research proposals to external funding bodies as appropriate. 3. Subject to the requirements of the funding source and where an opportunity exists, the occupant may be required to contribute to the teaching activities of the Institute. This includes, but is not limited to, the preparation and delivery of lectures and tutorials, the preparation of online material, marking and assessment, consultations, and with students or acting as subject coordinators. 4. Supervise students working on individual or group projects at undergraduate, honours, graduate-coursework levels. Assist with supervision of research students. 5. Assist to supervise research support staff in your research area. 6. Actively contribute to all aspects of the operation of the Institute. 7. Assist in outreach activities including to prospective students, research institutes, industry, government, the media and the general public. 8. Maintain high academic standards in all education, research and administration endeavours. 9. Proactively undertake development to grow effective researcher capabilities to support career goals. 10. Take responsibility for their own workplace health and safety and not willfully place at risk the health and safety of another person in the workplace. 11. A demonstrated understanding of equal opportunity principles and policies and a commitment to their application in a university context. 12. Other duties as required that are consistent with the classification of the position
A Level A academic will work with the support and guidance from more senior academic staff and is expected to develop their expertise in teaching and research with an increasing degree of autonomy. A Level A academic will normally have completed four years of tertiary study or equivalent qualifications and experience and may be required to hold a relevant higher degree. A Level A academic will normally contribute to teaching at the institution, at a level appropriate to the skills and experience of the staff member, engage in scholarly, research and/or professional activities appropriate to their profession or discipline, and undertake administration primarily relating to their activities at the institution. The contribution to teaching of Level A academics will be primarily at undergraduate and graduate diploma level. SELECTION CRITERIA: 1. A PhD (or awarding of a PhD within six months of appointment commencement) in a field relevant to biological data science. 2. Demonstrated experience and an interest in developing machine learning algorithms to solve real world problems 3. Evidence of high level computational and programming skills (in Python, R, or C++); experience in using them to build models/workflows and conduct analyses. 4. Demonstrated high level written and oral communication skills with the ability to effectively represent the research team internally and externally, including publishing in peer reviewed journals and/or authorship of scientific papers, reports, and presenting at national and/or international conferences. 5. A record of science innovation and creativity, including the ability & willingness to incorporate novel ideas and approaches into scientific investigations, preferably across diverse and inclusive teams. 6. Evidence of an ability and willingness to assist in the supervision of students working on research projects. 7. Demonstrated ability to work effectively as part of a multi-disciplinary, potentially regionally dispersed research team, as well as the ability, motivation and discipline to carry out independent research. 8. Demonstrated ability to communicate and interact effectively with wide range of stakeholders in a collaborative, crossdisciplinary research environment, and to foster professional, respectful and productive working relationships with staff, students and colleagues at all levels. 9. A demonstrated understanding of equal opportunity principles and policies and a commitment to their application in a university context.
Classification: Academic Level A Salary package: $73,309 - $92,015 per annum plus 17% superannuation. Terms: Full-time, Continuing (Contingent Funded) - Join a diverse multidisciplinary team working across domains and scales to build a future science platform. - Engage in collaborative research, based at the CSIRO, to solve significant science questions through analytical advances. - Gain experience in the development of cutting-edge statistics, machine learning and artificial intelligence applied to real-world problems in biology, agriculture and aquaculture.
Canberra, ACT In order to apply for his role, please make sure that you upload the following documents: statement addressing the selection criteria, and - A current curriculum vitae (CV). - Applications which do not address the selection criteria may not be considered for the position. For further information, please contact Professor Eric Stone E: [email protected] Applications close: 31 Mar 2021 11:55:00 PM AUS Eastern Daylight Time