About the placement
This internship is with Kaveri Consulting and is facilitated by the CSIRO’s Generation STEM Links program.
You will work with the software and engineering team to design and develop an intelligent system for detecting and classifying offset Active Galactic Nuclei (AGN) and non-nuclear transients from Zwicky Transient Facility (ZTF) alerts.
The placement will involve four key areas:
- Machine Learning & AI: Develop and evaluate ML models for astronomical image, time-series and anomaly detection tasks using Python and modern ML frameworks.
- Scientific & Aerospace Modelling: Apply physics, numerical methods, coordinate transformations and simulation techniques to model astronomical targets and sensing systems.
- Autonomous Systems & GNC: Explore how ML-based detection can integrate with guidance, navigation and control, state estimation and autonomous decision-making.
- Embedded & Engineering Systems: Develop prototype sensor/control systems using microcontrollers, telemetry and basic CAD or hardware integration, supported by software-in-the-loop or hardware-in-the-loop testing.
The project will provide experience across the full engineering workflow, from data processing and algorithm development through to simulation, system integration, testing and technical documentation.
Work arrangements
- Start date: October/November
- Working arrangement: Full Time for 200 hours on a casual contract
- Remuneration: $33.05 Casuals plus Super with Kaveri Consulting
- Location: Cherrybrook, NSW
Desired capabilities
- Studying Astronomy, Astrophysics, Engineering, Computer Science or a related quantitative discipline.
- Experience with Python, machine learning, data analytics and scientific computing.
- Familiarity with NumPy, pandas, PyTorch, JAX, TensorFlow or similar tools.
- Strong foundations in mathematics, physics and numerical methods.
- Interest or experience in GNC, autonomous systems, control systems or orbital mechanics.
- Exposure to Arduino, Raspberry Pi, sensors, embedded systems or C/C++ is desirable.
- Familiarity with CAD, simulation or engineering modelling tools is advantageous.
- Experience with APIs, JSON, Git, testing and software development practices.
- Strong communication, teamwork and attention to detail.
Requirements
- Must be an Australian citizen or permanent resident.
- Must be in your penultimate or final year of an undergraduate qualification.
About the Industry Partner
Kaveri Consulting offer end-to-end Application Development, Project Management, and Consulting Resource Sourcing. Whether you need a custom-built solution, expert delivery of a complex project, or skilled professionals to strengthen your team, we can help.
Apply
If you are interested in this internship, please log in to our Education & Outreach Portal to apply. Be sure to include the application code 0155. You’ll need to submit your CV (PDF file) and complete the application questions.
About the placement
This internship is with Kaveri Consulting and is facilitated by the CSIRO’s Generation STEM Links program.
You will work with the software and engineering team to design and develop an intelligent system for detecting and classifying offset Active Galactic Nuclei (AGN) and non-nuclear transients from Zwicky Transient Facility (ZTF) alerts.
The placement will involve four key areas:
- Machine Learning & AI: Develop and evaluate ML models for astronomical image, time-series and anomaly detection tasks using Python and modern ML frameworks.
- Scientific & Aerospace Modelling: Apply physics, numerical methods, coordinate transformations and simulation techniques to model astronomical targets and sensing systems.
- Autonomous Systems & GNC: Explore how ML-based detection can integrate with guidance, navigation and control, state estimation and autonomous decision-making.
- Embedded & Engineering Systems: Develop prototype sensor/control systems using microcontrollers, telemetry and basic CAD or hardware integration, supported by software-in-the-loop or hardware-in-the-loop testing.
The project will provide experience across the full engineering workflow, from data processing and algorithm development through to simulation, system integration, testing and technical documentation.
Work arrangements
- Start date: October/November
- Working arrangement: Full Time for 200 hours on a casual contract
- Remuneration: $33.05 Casuals plus Super with Kaveri Consulting
- Location: Cherrybrook, NSW
Desired capabilities
- Studying Astronomy, Astrophysics, Engineering, Computer Science or a related quantitative discipline.
- Experience with Python, machine learning, data analytics and scientific computing.
- Familiarity with NumPy, pandas, PyTorch, JAX, TensorFlow or similar tools.
- Strong foundations in mathematics, physics and numerical methods.
- Interest or experience in GNC, autonomous systems, control systems or orbital mechanics.
- Exposure to Arduino, Raspberry Pi, sensors, embedded systems or C/C++ is desirable.
- Familiarity with CAD, simulation or engineering modelling tools is advantageous.
- Experience with APIs, JSON, Git, testing and software development practices.
- Strong communication, teamwork and attention to detail.
Requirements
- Must be an Australian citizen or permanent resident.
- Must be in your penultimate or final year of an undergraduate qualification.
About the Industry Partner
Kaveri Consulting offer end-to-end Application Development, Project Management, and Consulting Resource Sourcing. Whether you need a custom-built solution, expert delivery of a complex project, or skilled professionals to strengthen your team, we can help.
Apply
If you are interested in this internship, please log in to our Education & Outreach Portal to apply. Be sure to include the application code 0155. You’ll need to submit your CV (PDF file) and complete the application questions.