Research Engineer

Classification: ANU Officer 7 (Research)
Salary package: $110,546 - $116,083 per annum, plus 17% superannuation
Term: Fixed term, Full time (up to 1 year)

Interested in AI and Robotics, but not sure about a research career?  

• Work with state-of-the-art techniques on AI and Robotics
• Work on real-world Robot Planning and Optimisation problem
• Work in collaboration with researchers and practitioners from the Australian National University, University of Sydney and Thales Australia

In 1946, ANU was founded to help rebuild a changing world. We’re still at it, 80 years later. For generations, our people have turned curiosity into ideas that have shaped Australia and our region. Learn more about ANU, our history and the community that has shaped us: ANU at 80 

About the opportunity

This position is a fixed term for a period of one year appointment to contribute to the development of software for dry dock optimisation and broader robotics application in dry dock. Please see Position Description for details. This position is suitable for experience graduates with robotics software development experience. It provides opportunities to collaborate with researchers and practitioners at the ANU, University of Sydney, ARC ARIAM Hub and Thales Australia.

The position will be hosted at the Robotics Lab within the ANU School of Computing. The ANU School of Computing has a strong foundation in computing and information sciences at ANU with four activity clusters:

• Intelligent Systems: artificial intelligence, machine learning, computer vision, natural language processing, robotics
• Computing Foundations: software systems, programming languages, compilers, operating systems, software testing, software engineering, computer architecture, computer security, logic and verification, theory of computation, formal methods
• Data Science: data mining and statistical analysis, data storage and management, cloud storage and distributed computing, data engineering, data warehousing, data modeling and visualization, data analytics, database management and architecture, health informatics, data privacy
• Computational Science: scientific computing, high-performance computing, large-scale parallel systems, modeling and simulation, bioinformatics, computational biology/chemistry/physics/engineering

About the College

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 ANU College of Systems and Society (CSS) hosts many of the key disciplines necessary to help us design, build, regulate and secure the future.

CSS brings together expertise in social, technical, computational, ecological and scientific systems to build a new approach to systems design and build new national capabilities in data-driven policy and business development. The work we do in the College is to strengthen our national mission and meet our unique responsibilities as Australia’s national university. We will deliver on our mission by building a strong community, providing transformative educational experiences, conducting high-impact research, seeking meaningful engagement, and becoming a resilient organisation.

We welcome and openly acknowledge differences in expertise, research / education / professional focus, experience and perspective.

CSS is a vibrant and diverse community of more than three thousand students, staff, and visitors. Our College is comprised of the School of Computing, School of Cybernetics, School of Engineering, Fenner School of Environment & Society, Mathematical Sciences Institute, and the Australian National Centre for the Public Awareness of Science, supported by the Professional Services Group.

Enquiries

To enquire about this role, please contact Professor Hanna Kurniawati via email on robotics.comp.cecc@anu.edu.au or phone on +612 6125 1577. 

Our commitment to diversity, belonging, inclusion and equity

ANU is committed to building a diverse and inclusive community, and particularly welcomes applications from women, Aboriginal and Torres Strait Islander people and candidates from culturally and linguistically diverse backgrounds. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion   

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, had career disruptions or who have achieved excellence in careers outside of the higher education sector. We support applicants who require flexible arrangements in their work environments or patterns. If your experience looks a little different to what we’ve described, but you’re passionate and motivated by this position, we welcome your enquiry and application. 

What we offer

The ANU provides attractive benefits and excellent support to maintain a healthy work/life balance and offers generous remuneration benefits, including four weeks paid vacation per year, assistance with relocation expenses and 17% employer contribution to superannuation. We also offer generous parental leave, the possibility of flexible and part time working arrangements, a parental and aged care support program, dual career hire programs, staff and family tuition fee discounts, ANU school holiday programs, and childcare facilities on campus. For more information, visit: https://services.anu.edu.au/human-resources  

How to apply

Applicants must apply online via the ANU recruitment portal and should upload the following separate documents: 

• A detailed curriculum vitae (CV) including examples of past projects 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 response of no more than 4 A4 pages addressing each selection criteria.
• A showcase of your past project(s). This can be in the form of a link to your published code OR a short video (no more than 3 minutes) OR slides (no more than 3 slides) OR other ways you think is best to showcase your project(s).