About the placement
This internship is with Adiona and is facilitated by the CSIRO’s Generation STEM Links program.
Adiona is seeking a curious and technically minded intern to join their team in exploring the practical applications of large language models (LLMs) and other AI tools in a business context. This role is ideal for students interested in the intersection of data science, AI, and business systems. You will work closely with our Chief Marketing Officer (CMO) and technical team to investigate, prototype, and evaluate how generative AI can be used to automate and enhance internal processes, content generation, and knowledge management.
Your responsibilities may include:
- Applying LLMs and AI-powered tools to generate, refine, and analyse technical and business content
- Exploring and documenting use cases for AI in automating repetitive tasks, summarising technical documents, and enhancing internal knowledge bases
- Assisting in evaluating the performance and limitations of various AI tools in practical scenarios
- Collaborating with cross-functional teams to identify opportunities for AI integration in workflows
- Contributing to internal reports or presentations on findings, tool comparisons, and implementation recommendations
What You’ll Gain:
- Hands-on experience using generative AI in a real-world, business-focused environment
- Exposure to AI evaluation methods, prompt engineering, and tool selection
- Opportunities to contribute to meaningful, practical problem-solving using cutting-edge technology
- Mentorship from experienced professionals across both technical and strategic disciplines.
Work arrangements
- Start date: Mid-August (flexible)
- Working arrangement: Temporary part-time position at $25 per hour plus superannuation, for a total of 200 hours
- Location: UTS Building 5, Quay St, Sydney.
Desired capabilities
- Currently enrolled in a degree related to Business Information Systems FinTech, IT, Computer Science, or a related field.
- Strong analytical and written communication skills, with a keen interest in AI and its applications.
- Familiarity with generative AI tools (e.g., ChatGPT, Claude, Gemini) and a basic understanding of how LLMs work.
- Comfortable working with structured and unstructured data.
- Bonus: Experience with scripting (e.g., Python), prompt engineering, or using APIs for AI tools.
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
Adiona powers millions of efficient product deliveries for some of the world’s largest brands, including Coca-Cola, Australia Post, and BP. Its AI-powered delivery route planning and optimization platform leverages machine learning and real-time traffic data to reduce delivery costs, improve end-to-end visibility, and lower CO₂ emissions. For companies transitioning to EVs, bikes, or on-demand delivery models, Adiona’s fleet simulator provides actionable insights for fleet purchasing, deployment, and infrastructure planning.
Apply
If you are interested in this internship, please submit your EOI and CV online through the Student Application webform and please specify CODE0129a
About the placement
This internship is with Adiona and is facilitated by the CSIRO’s Generation STEM Links program.
Adiona is seeking a curious and technically minded intern to join their team in exploring the practical applications of large language models (LLMs) and other AI tools in a business context. This role is ideal for students interested in the intersection of data science, AI, and business systems. You will work closely with our Chief Marketing Officer (CMO) and technical team to investigate, prototype, and evaluate how generative AI can be used to automate and enhance internal processes, content generation, and knowledge management.
Your responsibilities may include:
- Applying LLMs and AI-powered tools to generate, refine, and analyse technical and business content
- Exploring and documenting use cases for AI in automating repetitive tasks, summarising technical documents, and enhancing internal knowledge bases
- Assisting in evaluating the performance and limitations of various AI tools in practical scenarios
- Collaborating with cross-functional teams to identify opportunities for AI integration in workflows
- Contributing to internal reports or presentations on findings, tool comparisons, and implementation recommendations
What You’ll Gain:
- Hands-on experience using generative AI in a real-world, business-focused environment
- Exposure to AI evaluation methods, prompt engineering, and tool selection
- Opportunities to contribute to meaningful, practical problem-solving using cutting-edge technology
- Mentorship from experienced professionals across both technical and strategic disciplines.
Work arrangements
- Start date: Mid-August (flexible)
- Working arrangement: Temporary part-time position at $25 per hour plus superannuation, for a total of 200 hours
- Location: UTS Building 5, Quay St, Sydney.
Desired capabilities
- Currently enrolled in a degree related to Business Information Systems FinTech, IT, Computer Science, or a related field.
- Strong analytical and written communication skills, with a keen interest in AI and its applications.
- Familiarity with generative AI tools (e.g., ChatGPT, Claude, Gemini) and a basic understanding of how LLMs work.
- Comfortable working with structured and unstructured data.
- Bonus: Experience with scripting (e.g., Python), prompt engineering, or using APIs for AI tools.
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
Adiona powers millions of efficient product deliveries for some of the world’s largest brands, including Coca-Cola, Australia Post, and BP. Its AI-powered delivery route planning and optimization platform leverages machine learning and real-time traffic data to reduce delivery costs, improve end-to-end visibility, and lower CO₂ emissions. For companies transitioning to EVs, bikes, or on-demand delivery models, Adiona’s fleet simulator provides actionable insights for fleet purchasing, deployment, and infrastructure planning.
Apply
If you are interested in this internship, please submit your EOI and CV online through the Student Application webform and please specify CODE0129a