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commits to contribute to a low carbon future by developing and promoting innovative and sustainable transportation solutions that people enjoy riding.

From high-speed trains, metros, monorails, trams, to turnkey systems, services, infrastructure, signalling and digital mobility, Alstom offers its diverse customers the broadest portfolio in the industry. With its presence in 63 countries and a talent base of over 86,000 people from 184 nationalities, the company focuses its design, innovation, and project management skills to where mobility solutions are needed most.

Project statement

AGATE 2: Industrial Test Bench

Initiate the implementation of a plan to modernize the electronic traction control equipment for two significant fleets managed by Alstom. In this regard, it is essential to upgrade the existing test bench to meet industrial production standards.

Deliverables include the design of the mechanical interface between the equipment and the test bench, as well as the electronic design for the test bench (PCB Design and embedded coding). This encompasses the creation of the mechanical housing and the detailed electrical wiring schematics.

encompasses five hospitals and a variety of community health centres extending from Sydney Harbour to Sydney's upper north shore.

Our principal role is to improve the health of 800,000 residents by providing and facilitating efficient, effective, and responsive health services, including acute hospital services. Our hospitals are Royal North Shore Hospital, Hornsby Ku-ring-gai Hospital, Macquarie Hospital, Ryde Hospital and Mona Vale Hospital.

Project statement

Social Isolation - How might we create a sustainable, person-centred solution to address social isolation in our local area?

Social isolation is a growing public health concern, associated with increased risks of depression, cognitive decline, and even premature mortality. There is an urgent need for innovative, inclusive, and co-designed approaches that empower people to stay engaged with their communities and build meaningful relationships.

Expected deliverables including technical solutions to social isolation utilising AI to positively reduce social isolation and policy proposals.

Located in Sydney, the is the largest museum group in Australia. Powerhouse sits at the intersection of the arts, design, science and technology and plays a critical role in engaging communities with contemporary ideas and issues.

It is custodian to more than half a million objects of national and international significance, and is considered one of the finest and most diverse collections in Australia.

Project statement

Circularity in Exhibitions

Powerhouse is a leading cultural institution embedding sustainability through its Circular Exhibitions Plan 2025. This project is to explore how data-informed design can support circular practices in exhibition-making, with a focus on workshop-based material tracking and reuse.

We are looking for proposals or prototypes that demonstrate how data-informed design can support circular practices in exhibition production - particularly in material tracking, reuse, and planning -  applicable within Powerhouse Workshop operations. The focus is on systems or tools that support circular processes - particularly material tracking, data use, and sustainable production methods, not design an exhibition.

is a leader in advanced analytics and some of its largest customers in Australia are leading banking institutions.

Get more done with faster, more productive AI and analytics from the most trusted analytics partner on the planet. Produce answers as fast as the world produces data with SAS. With over forty years of analytics innovation, SAS has been giving customers around the world THE POWER TO KNOW®.

Project statement

Developing a Data-Driven Home Loan Origination Scorecard: Enhancing Risk Management and Decision-Making in the Australian Mortgage Industry

The Australian mortgage market has become intensely competitive, leading to aggressive lending practices and potential risks to both the banking sector and borrowers. As banks engage in a fierce battle to attract and retain customers, they may inadvertently lock in riskier customers on thin margins, affecting their long-term profitability. Additionally, the current home loan climate in Australia, characterized by rising interest rates, higher funding costs, and the approaching fixed-rate cliff, presents unique challenges for lenders and borrowers alike. To navigate these complex dynamics and mitigate potential risks, it is crucial to develop data-driven home loan origination models, segmentation, and other analytical outputs.

By targeting this issue, we aim to enhance decision-making, risk management, and overall performance in the mortgage industry, ultimately benefiting banks, financial institutions, and their customers.

is one of Australia’s largest telecommunication companies and operates a number of leading mobile and internet brands including Vodafone, TPG, iiNet, Internode, Lebara, AAPT and felix.

As a full-service telecommunications provider, TPG Telecom provides mobile, internet, business and fixed network solutions. We serve consumers, small and medium businesses, government, corporate enterprises and wholesale customers offering a comprehensive portfolio of fixed and mobile products in the Australian telecommunications market.

Project statement

Project Intellecta: An AI-Driven Personalised Learning Solution for our TPG Corporate Environment

This project explores how Artificial Intelligence can be leveraged to enhance learning and development (L&D) in corporate settings. The focus is on research and designing an AI-powered solution that delivers personalized, adaptive, and data-driven learning experiences to employees, aligned with their roles, skills, and career goals.

Project aims:

1. To investigate current challenges in corporate learning and identify opportunities for AI integration and use.
2. To design a solution that uses AI to personalize learning paths based on employee data.
3. To recommend a solution for a basic AI-driven learning assistant or recommendation engine.

Expected outcomes:

1. A report detailing the solution design, implementation, and evaluation.
2. Insights into the benefits and limitations of AI in corporate learning.
3. Learning Analytics Dashboard – Visualizes employee progress, engagement, and learning outcomes.