Current University Students Only

Important Note

This prospect is intended to be undertaken as an unpaid university-approved vocational or Work Integrated Learning placement. Applicants must be currently enrolled in a university degree in one of the following areas or a related field:

- Artificial Intelligence
- Data Science
- Computer Science
- Software Engineering
- Information Technology
- Computer Engineering
- Cloud Computing
- Cybersecurity
- Or a related discipline

About Us

Aussie Hybrid Solar is the customer-facing solar and battery installation service brand operated by JT Solar Technology Pty Ltd, a Sydney-based renewable energy technology company established in 2009.

Our work covers solar photovoltaic systems, battery storage, smart energy applications, system design, commissioning and ongoing support across residential, strata, commercial and industrial projects.

JT Solar Technology has also established a Joint Battery Testing Laboratory with UNSW, supporting applied research and the evaluation of battery performance, safety, reliability and compatibility.

About the Placement

We are seeking a current university student interested in artificial intelligence, data, automation, cloud systems and applied technology.

The student will participate in a structured and supervised learning project exploring how AI, data and cloud technologies can support renewable energy operations, internal systems and workflow improvement.

This placement is focused on practical learning, technical mentoring and professional development. The student will not replace an employee or independently manage normal business operations.

Learning Project Areas

During the placement, the student may:

- Research practical AI applications for solar, battery and smart energy operations




- Analyse and map selected business and data workflows
- Work with anonymised or non-sensitive sample datasets
- Develop basic Python scripts or automation prototypes
- Explore API, database and cloud integration concepts
- Test solutions in a supervised development or sandbox environment
- Assist with proof-of-concept AI and workflow automation projects
- Document system requirements, testing processes and findings
- Review data governance, cybersecurity and responsible AI principles
- Prepare a final technical report and presentation

Any access to company systems, cloud platforms or operational data will be limited, supervised and subject to company security requirements.

What You Will Learn

By the end of the placement, the student should be able to:

- Define a practical business or operational technology use case
- Evaluate the suitability and limitations of an AI or automation solution
- Develop and document a basic proof of concept
- Apply basic data management and security principles
- Understand API, database and cloud integration concepts
- Communicate technical findings to non-technical stakeholders
- Understand how digital technologies are applied within the clean energy sector

Desirable Knowledge

Exposure to one or more of the following would be helpful but is not essential:

- Python
- SQL and databases
- APIs
- Data analysis




- Artificial intelligence or machine learning
- AWS or Oracle Cloud
- Terraform
- Cybersecurity fundamentals
- Git and technical documentation

Supervision and Support The student will receive:

- A structured workplace induction
- An agreed learning and project plan
- Regular supervision from a nominated workplace supervisor
- Weekly progress discussions
- Technical guidance and feedback
- A mid-placement review, where required
- A final learning and performance review
- Support with relevant university placement documentation

Placement Arrangement

- This is an unpaid vocational or Work Integrated Learning placement expected to last approximately one to three months, depending on the student’s university requirements and approved placement days.
- The placement will focus on structured learning, technical training, industry exposure and professional development.
- After the approved placement has formally ended, the company may separately recruit for paid casual or part-time positions, depending on business requirements. Placement participants may apply through a separate recruitment process.
- Any paid employment would be covered by a separate written employment agreement and is not guaranteed as part of the placement.

How to Apply

Please send your resume and a short introduction to:

****@aussiehybridsolar.com.au

Please include

- Your university
- Your degree and major
- Your current year of study
- Your expected graduation date
- The number of placement days you are required to complete
- Confirmation that the placement forms part of your university requirements
- Your availability during the proposed placement period

Work location: In person — Sydney, NSW

Work Location: In person

📌 AI & Cloud Operations Student Placement (Sydney)
🏢 Aussie Hybrid Solar
📍 Sydney