Blockchain for Food Provenance
Engineering, IT, Mathematics and Statistics
- This internship is able to cover project costs for domestic students only.
- The Industry Partner has implemented appropriate preparations to comply with Federal and State Government requirements regarding COVID-19 safety.
- Due to remote arrangements, this internship is now accepting applications from eligible PhD students nationwide. If your skillset is aligned with this internship and you are located remotely, please enquire with the Internship Contact to discuss possible arrangements.
ABOUT THE INDUSTRY PARTNER
Aglive are a company who work mainly in software for agricultural provenance tracking. Originally working with RFID tags for livestock the company are pivoting toward a new blockchain based solution which can be used in conjunction with DNA testing to track products over their full supply chain life-cycle from paddock to plate.
WHAT’S IN IT FOR YOU?
Aglive offer a positive and results orientated work environment that embraces a diversity of perspectives, ideas, and cultures. You’ll be offered an opportunity to help shape the organisation’s project as they continue to expand exponentially as a business. You will be working in an agile research and development environment, given the opportunities to lead, manage and deliver research projects.
- Work on latest blockchain technologies;
- Apply the research skills directly to an industry problem;
- Work directly with CTO on a strategic project for the company
RESEARCH TO BE CONDUCTED
Blockchain is changing the way to build the software. Unlike most current information systems which are based on centralised database and centralised service API and web or mobile interface to provide access, using blockchain, most of business logic will be put on smart contracts which are running shared virtual machine and all data will be saved on a shared append-only public database. Such “shared” computing and storage models have scalability issues by nature. This raises a fundamental issue of how to resolve this issue without compromising blockchain’s inherent decentralisation and security.
This research seeks to utilise blockchain to track provenance information including DNA, farm fingerprints and elements testing across the supply chain. DNA services are already in use on farms for livestock and DNA testing units fitted to smart phones can test and return a result in a matter of minutes without the need to send out to the lab. However, there is no method of linking and validating the on-farm DNA collected and stored by third party systems to downstream end markets in real time
The red meat industry is seeking this system to be developed as the ‘holy grail’ of traceability.
In the research project, Aglive will use their blockchain-based IoT traceability application as a test bed to find a best design pattern for blockchain application to balance the scalability, decentralisation and security. Here are the key issues Aglive are working on:
- Blockchain data storage for IoT application.
- Smart contract design for IoT application
- Blockchain IoT Data Visualisation
- Access control in DApp
SKILLS WISH LIST
If you’re a PhD student and meet some or all the below we want to hear from you. We strongly encourage women, indigenous and disadvantaged candidates to apply:
- Essential extensive knowledge in key areas of blockchain research (e.g. side chains, confidential transactions, data privacy, and other scaling methodologies, etc)
- Coding skills in any computer language
The researcher will have the opportunity to publish a peer-reviewed technical report or research paper on the proposed research solution. A system is sought for IoT data management that would align well for delivery of DNA bookend validation of our platform for audit and verification purposes and to provide critical consumer feedback data on eating quality etc., to provide farmers improved methods for decision making in relation to genetics selection.
The researcher also needs to provide a proof of concept implementation to guide the engineering team to implement the results in a commercial product.
The intern will receive $3,000 per month of the internship, usually in the form of stipend payments.
It is expected that the intern will primarily undertake this research project during regular business hours and maintain contact with their academic mentor throughout the internship either through face-to-face or phone meetings as appropriate.
The intern and their academic mentor will have the opportunity to negotiate the project’s scope, milestones and timeline during the project planning stage.
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