Research Fellow On Machine Learning/natural

3 weeks ago

Canberra, Australia Australian National University Full time

**Classification**: Academic Level B
**Salary package**: $112,916 - $128,026 per annum plus 17% superannuation
**Terms**: 2x Full time, Fixed Term (24 months)

These positions will provide opportunities to:

- Conduct cutting edge research in machine learning and AI, such as but not limited to natural language processing and interpretable machine learning.
- Opportunity to supervise research students and work as part of a larger team.
- Opportunities for inter-disciplinary collaborations, and collaborate with industry and government

**About ANU and School of Computing**
The ANU by 2025 Strategic Plan calls for the University to serve society through transformational research and education. As one of the great universities of the world, ANU is driven by a culture of excellence in everything we do. Our lived experience is increasingly one of large-scale systems of people, whose actions and interactions are influenced by our digital, physical and biological environment. The School of Computing in the ANU College of Engineering, Computing and Cybernetics (CECC) has a strong foundation in computing and information sciences at ANU. We are a transformative centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades of computer science methodologies with modern data and computational science. Our mission is motivated by the need to design, drive and sustain strategic activities via five broad focus areas: Computing Foundations, Computational Science, Intelligent Systems, Data Science and Analytics, and the Software Innovation Institute.

**About the opportunity**
We invite two new Postdoctoral / Research Fellows to join a CSIRO/ANU/UNSW project on artificial intelligence for health, safety and environmental objectives. The Research Fellow appointments will be two years fixed term. The research project connects with the research strengths in the school on artificial intelligence (AI), machine learning (ML) and vision, natural language understanding, and robotics. The intended project also collaborates with other requisite disciplines to integrate human and social values in AI systems, touching on aspects of philosophy, cognition, ethics, and safety.

The intended research will have a mix of theoretical and empirical components. We invite researchers with diverse skill sets and research methodologies to apply.

We are looking for strong team players with excellent interpersonal skills and the capacity to quickly develop productive and professional relationships with colleagues. You will have the opportunity to collaborate with talented PhD, master and undergraduate students in the School of Computing. Appointees will also have opportunities to gain teaching experience, in a way that is aligned with their career development and project settings.

**Applicant Enquiries**

We expect to hold reviews after the advertisement has closed, with potential future rounds scheduled in 2025.

**Working at ANU**
This is an opportunity to work with a world class University that undertakes cutting edge research and has a strong tradition in research-led teaching excellence. We offer:

- attractive benefits and excellent support to maintain a healthy work/life balance and offers generous remuneration benefits, including four weeks paid vacation per year and 17% employer contribution to superannuation.;
- generous paid parental leave entitlements of up to 32 weeks. We are one of the leading employers in Australia for parental leave entitlements;
- designated parent rooms, quiet spaces and childcare facilities on campus;
- career support, training, mentoring & upskilling opportunities.

For more information on a range of lifestyle, financial and non-financial rewards and programs,

To see what the Engineering, Computing and Cybernetics at ANU community is like, we invite you to follow us on social media at Instagram and Facebook.

**Application information**
- A statement addressing the selection criteria.
- Other documents, if required.

**Applications which do not address the selection criteria may not be considered for the position.

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