Research Software Engineer (AI and Machine Learning Specialist)
Australian National University (ANU) Canberra / ACT, ACT, Australia, 2601- Opening Date: Not Available
- Closing Date: 22-Sep-2024
- Canberra / ACT, ACT, Australia, 2601
- $112,693 – $120,506 per annum, plus 17% superannuation
- Implement and maintain efficient, scalable AI/ML and data analysis algorithms.
- Optimise large-scale parallel I/O operations in HPC systems.
- Engage with internal and external stakeholders to understand requirements and coordinate developments.
- Stay up to date with the latest developments in HPC and data science related technologies.
- Experience developing and using Machine Learning frameworks and algorithms
- Experience using high-performance computing systems for large-scale data processing and analysis
- Self-learner, good listener, accountable and passionate about helping others as well as working in a collaborative team environment
- Detail-oriented with an ability to handle multiple issues, tasks and competing priorities concurrently
- Remain up to date on latest trends and technologies
- Commitment to a safe, inclusive and respectful workplace environment
- Linux/Unix experience (desirable)
- Expert knowledge of common data formats used in climate and geoscience data (e.g., netCDF, HDF5, zarr) (desirable)
- Experience using GPU applications and cloud computing environments for large-scale data processing and analysis (desirable)
- Experience with compiled scientific programming languages (e.g., Fortran, C++) (desirable)
- Flexible working arrangements to encourage a healthy work/life balance, including consideration of part-time roles.
- Exceptional workplace culture with a supportive, diverse and inclusive team.
- Great work location with world-class staff amenities including gyms, swimming pool, childcare centres, etc.
- Excellent remuneration and conditions, including 17% superannuation contributions, annual leave loading and a range of benefits.
- The successful candidate must have rights to live and work in this country and will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.
Research Software Engineer (AI and Machine Learning Specialist)
Job ID: 556770
Location: Canberra / ACT, ACT, Australia, 2601
Position Type: Continuing (Contingent Funded)
Closing Date: Sep 22 2024 at 23:55 AEST
Position Description
Classification: ANU Officer 8 (Specialist)
Salary package: $112,693 – $120,506 per annum, plus 17% superannuation
Term: Full-time, Continuing (contingent funded), funded until September 2027 (flexible arrangements, job share, or part time hours will be considered)
Flexible working arrangements to encourage a healthy work/life balance, including consideration of part-time roles.
Exceptional workplace culture with a supportive, diverse and inclusive team.
Great work location with world-class staff amenities including gyms, swimming pool, childcare centres, etc.
Excellent remuneration and conditions, including 17% superannuation contributions, annual leave loading and a range of benefits.
About Us
ACCESS – The Australian Community Climate and Earth System Simulator – is a collaborative venture between Government and the Australian research community to support development, maintenance and access to climate and weather models and data.
Hosted at ANU, ACCESS-NRI (ACCESS National Research Infrastructure) is a multi-party collaborative venture responding to the current and future needs of Australia’s scientific, Government and stakeholder community.
At the heart of ACCESS is a community of Research Software Engineers with a range of skills including high performance computing, climate and Earth system model development, advanced visualisation, model optimisation, code repository management, model evaluation and data science.
ACCESS-NRI provides a supportive and enriching workplace for its staff through its strong commitment to equity, diversity and inclusion and wellbeing initiatives. Women, Aboriginal and Torres Strait Islander peoples and other people that will increase the diversity of the ACCESS community are strongly encouraged to apply.
The Role
We are seeking a talented Research Software Engineer with knowledge and experience in AI/ML and large-scale data processing in HPC systems. You will join the Software Transformation Team and explore the use of AI/ML technologies and advanced data processing and analysis tools, helping us create state of the art class-leading climate models.
Responsibilities include:
- Implement and maintain efficient, scalable AI/ML and data analysis algorithms.
- Optimise large-scale parallel I/O operations in HPC systems.
- Engage with internal and external stakeholders to understand requirements and coordinate developments.
- Stay up to date with the latest developments in HPC and data science related technologies.
This is an exciting opportunity to work at the intersection of earth system models, climate change and high-performance computing to help address major challenges facing society.
The role of Research Software Engineer will have demonstrated experience in working as part of a software development team, attention to detail, flexibility, and ability to prioritise tasks to accomplish both short- and long-term goals. Ability to self-direct and learn new skills as needed matters more than knowledge of any specific software package, as does an interest and demonstrated aptitude for picking up new skills and technologies and running with them. We are committed to an enriching work environment, and are prepared to invest in those we appoint, to develop skills that may be missing or enhance those you already possess. ACCESS-NRI represents a uniquely cross-disciplinary work environment that enables significant opportunities for broadening the skills and knowledge of those who choose to join us.
It is essential that you can work with others, contribute to varied projects as needed, and be able to balance ongoing maintenance and support with scoping and delivery of new projects and other longer-term deliverables. The role has a mixture of internal and external stakeholder engagement, with varied technical and non-technical backgrounds.
If this sounds like you, and you are excited to support innovative research and play an active role in making a difference in the field of climate modelling, then please get in touch to find out more about the position.
Skills and Requirements
Required:
- Experience developing and using Machine Learning frameworks and algorithms.
- Experience using high-performance computing systems for large-scale data processing and analysis.
- Self-learner, good listener, accountable and passionate about helping others as well as working in a collaborative team environment.
- Detail-oriented with an ability to handle multiple issues, tasks and competing priorities concurrently.
- Remain up to date on latest trends and technologies.
- Commitment to a safe, inclusive and respectful workplace environment.
Desirable:
- Linux/Unix experience.
- Expert knowledge of common data formats used in climate and geoscience data (e.g., netCDF, HDF5, zarr).
- Experience using GPU applications and cloud computing environments for large-scale data processing and analysis.
- Experience with compiled scientific programming languages (e.g., Fortran, C++).
The above skills should be referred to when addressing the selection criteria.
For further information please contact Micael Oliveira, Software Transformation Team Lead, E: micael.oliveira@anu.edu.au
The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities at the ANU, visit the ANU website.
ANU values diversity and inclusion and believes employment opportunities must not be limited by socio-economic background, race, religion or gender. For more information about staff equity at ANU, visit the ANU website.
Application information
In order to apply for this role please make sure that you upload the following documents:
- A statement addressing the selection criteria.
- A current curriculum vitae (CV) which includes the names and contact details of at least two 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.
- Other documents, if required.
Applications which do not address the selection criteria may not be considered for the position.
Please note: The successful candidate must have rights to live and work in this country and will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.
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