UniSA BAE IMCRC Data Linking Analytics international awards in Australia
- $37.285 p.a.
The University of South Australia is welcoming applications for a PhD position in Artificial Intelligence/Computer Science to work on the project "Application of Narrative Visualisation and Big Data to Improve High Value Manufacturing" funded by BAE Systems and the Innovative Manufacturing Cooperative Research Centre.
Discrete manufacturing in Defence inherently relies on participants in the supply chain performing at a very high-quality level without full visibility of what is happening elsewhere in the chain. Human-in-the-loop decision making is fundamental in high value complex manufacture, both to correct defects and increase operational efficiency. The problem is a latency of presenting appropriate data to the critical decision makers. Data captured from disparate Industry 4.0 technologies can be transformed into a trusted data driven decision support tool, based on big data and smart visualisation techniques.
The project seeks to develop novel artificial intelligence techniques for analysing and linking data across the supply
chain and to create interactive decision support tools for advanced manufacturing in Defence. The successful
applicant will develop novel artificial intelligence methods for linking and analysing data across a manufacturing supply chain.
The recipient should have an outstanding academic record and a background in Computer Science or Artificial
University of South Australia
The scholarship is open to commencing domestic and international applicants.
Applicants must meet the eligibility requirements for a research degree program at the University of South Australia.
Candidates born in ITAR-proscribed countries and nationals of IT AR-proscribed countries are ineligible. Please check the list of denial countries in ITAR legislation at https://www.law.cornell.edu/cfr/text/22/126.1 prior to applying.
$37,285 per year for 3 years with the option for a 6-month extension. An additional $2,500 is available for equipment upon
In the first instance, interested applicants should send their CV and academic transcript to Dr Wolfgang Mayer
at Wolfgang.email@example.com and following the initial endorsement by the supervisor, you will be required to go through the UniSA online application process.
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