Senior Research Software Engineer, Python Specialist
Australian National University
- Canberra, ACT
- $109,945-117,567 per year
- Permanent
- Full-time
Salary package: $109,945 - $117,567 per annum plus 17% superannuation
Term: Full-time, Fixed term (up to 2 years)
- Flexible working arrangements to encourage a healthy work/life balance, including consideration of part-time roles and remote work.
- 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
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 established as 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, machine learning, model evaluation and data science.ACCESS-NRI provides a supportive and enriching workplace for its staff through its strong commitment to equity, diversity, inclusion, and wellbeing initiatives. Aboriginal and Torres Strait Islander peoples, Women and other people that will increase the diversity of the ACCESS community are strongly encouraged to apply.The Role
Are you a talented Python developer looking for an exciting opportunity? The Model Evaluation and Diagnostic team focuses on developing and enhancing workflows to facilitate the analysis of ACCESS model outputs. Additionally, we compare model outcomes with those of other international models. Our work is crucial in supporting Australia's submissions to the Coupled Model Intercomparison Project (CMIP), providing scientific inputs for international climate change panels.Responsibilities include:
- Collaborate with cross-functional teams to understand requirements and translate them into technical specifications.
- Design and develop scalable, efficient, and maintainable Python code for data analysis and processing.
- Implement algorithms for statistical analysis, machine learning, and predictive modelling.
- Create data visualisation tools and techniques to present complex information in a clear and intuitive manner.
- Optimise code performance and reliability through testing, debugging, and refactoring.
- Stay up to date with the latest developments in Python, data science, and related technologies.
Required:
- Proven experience (+3 years) as a Python Developer, with a focus on data analysis and scientific computing.
- Strong proficiency in Python and libraries such as NumPy, Pandas, SciPy, and Matplotlib.
- Solid understanding of data structures, algorithms, and software design principles.
- Excellent problem-solving skills and attention to detail.
- Ability to work independently and collaboratively in a fast-paced environment.
- Effective communication skills and the ability to explain technical concepts to non-technical stakeholders.
- Commitment to a safe, inclusive and respectful workplace environment.
- Passionate about working in an organisation that values and promotes diversity, equity, inclusion and wellbeing.
- Master's or PhD in Computer Science, Mathematics, Statistics, Physics, Earth Sciences or related field.
- Linux/Unix experience.
- Experience with low-level scientific programming languages (e.g., Fortran, C)
- Familiar with high-performance and/or cloud computing platforms.
- Familiarity with version control systems such as Git.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Experience working with geospatial data formats, standards and tools. (e.g., GIS, Python)
To apply for this role please 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.