About the placement
This internship is with Arcanite Research and is facilitated by the CSIRO’s Generation STEM Links program.
As an intern at Arcanite Research, you will contribute to a cutting-edge project that combines immersive technology with advanced artificial intelligence. Your work will support the development of a Large Language Model (LLM)-based task recommendation system, as well as a Virtual Reality (VR) experience for real estate showcases. These two components are part of a broader integrated platform aimed at transforming how users interact with digital environments and information.
The VR component will involve designing immersive environments that allow prospective buyers to explore properties virtually, while receiving personalised, real-time suggestions powered by AI. Meanwhile, the LLM-based system will analyse historical work logbooks to understand how tasks are completed sequentially within the company, enabling intelligent task recommendations and workflow optimisation.
Tasks may vary throughout the placement, offering exposure to both the AI-driven recommendation system and the immersive VR experience—giving you a chance to build skills across multiple high-impact technologies.
This is a unique opportunity for a technology enthusiast to gain hands-on experience at the intersection of artificial intelligence, immersive media, and smart workflow automation.
Work arrangements
- Start date: July (flexible)
- Working arrangement: Part-time for 200 hours
- Remuneration: Temporary part time contract, $25 p/h
- Location: Level 1, 66 Berry Street, North Sydney NSW 2060 (Hybrid working available)
Desired capabilities
- Pursuing a degree in Computer Science, Data Science, Artificial Intelligence or Business Analytics (ideally with skills or interest in Artificial Intelligence), or a related field
- Basic proficiency in Python or similar programming languages
- Familiarity with data analysis tools (e.g., Pandas, NumPy) and APIs
- Interest in machine learning or large language models (LLMs)
- Ability to interpret customer behaviour and market data- experience with statistical methods is a plus
- Interest in real estate workflows or recommendation systems
- Strong communication skills
- Attention to detail
- Ability to work collaboratively in a team
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
Arcanite Research focuses on research in advanced vision systems, predictive modelling, and automated valuation models (AVMs), while also designing cutting-edge database infrastructure suited for the AI era. Furthermore, its expertise extends to the real estate sector, where it contributes to new developments, addresses housing shortages, and enhances the optimization of affordable housing projects.
For more information, visit: https://arcanite.ai
Apply
If you are interested in this internship, please submit your EOI and CV online through the Student Application webform and please specify CODE0122
About the placement
This internship is with Arcanite Research and is facilitated by the CSIRO’s Generation STEM Links program.
As an intern at Arcanite Research, you will contribute to a cutting-edge project that combines immersive technology with advanced artificial intelligence. Your work will support the development of a Large Language Model (LLM)-based task recommendation system, as well as a Virtual Reality (VR) experience for real estate showcases. These two components are part of a broader integrated platform aimed at transforming how users interact with digital environments and information.
The VR component will involve designing immersive environments that allow prospective buyers to explore properties virtually, while receiving personalised, real-time suggestions powered by AI. Meanwhile, the LLM-based system will analyse historical work logbooks to understand how tasks are completed sequentially within the company, enabling intelligent task recommendations and workflow optimisation.
Tasks may vary throughout the placement, offering exposure to both the AI-driven recommendation system and the immersive VR experience—giving you a chance to build skills across multiple high-impact technologies.
This is a unique opportunity for a technology enthusiast to gain hands-on experience at the intersection of artificial intelligence, immersive media, and smart workflow automation.
Work arrangements
- Start date: July (flexible)
- Working arrangement: Part-time for 200 hours
- Remuneration: Temporary part time contract, $25 p/h
- Location: Level 1, 66 Berry Street, North Sydney NSW 2060 (Hybrid working available)
Desired capabilities
- Pursuing a degree in Computer Science, Data Science, Artificial Intelligence or Business Analytics (ideally with skills or interest in Artificial Intelligence), or a related field
- Basic proficiency in Python or similar programming languages
- Familiarity with data analysis tools (e.g., Pandas, NumPy) and APIs
- Interest in machine learning or large language models (LLMs)
- Ability to interpret customer behaviour and market data- experience with statistical methods is a plus
- Interest in real estate workflows or recommendation systems
- Strong communication skills
- Attention to detail
- Ability to work collaboratively in a team
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
Arcanite Research focuses on research in advanced vision systems, predictive modelling, and automated valuation models (AVMs), while also designing cutting-edge database infrastructure suited for the AI era. Furthermore, its expertise extends to the real estate sector, where it contributes to new developments, addresses housing shortages, and enhances the optimization of affordable housing projects.
For more information, visit: https://arcanite.ai
Apply
If you are interested in this internship, please submit your EOI and CV online through the Student Application webform and please specify CODE0122