Postdoctoral Fellowship in Machine Learning for Additive Manufacturing Process Control – CSIRO
Closes 15 September.
Do you have a PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Robotics, or a related field? Want to conduct world-class research with a team of dedicated scientists? Join CSIRO – Australia’s leading scientific research organisation!
CSIRO Early Research Career (CERC) Postdoctoral Fellowships provide opportunities to scientists and engineers who have completed their doctorate and have less than three years of relevant postdoctoral work experience. These fellowships aim to develop the next generation of future leaders of the innovation system.
Real-time control of autonomous systems is a growing area set to revolutionise engineering. This project seeks to apply novel adaptive process control strategies in metal additive manufacturing (AM) to improve consistency in the quality of parts for advanced applications. The large number of process parameters, and their numerous permutations and combinations, result in complex combinatorial cause-and-effect relationships that require a deep learning approach to effectively resolve both diagnostics and prognostics.
The Postdoctoral Fellow will join a significant effort in metal AM R&D, working with computational and experimental materials scientists as the machine learning (ML) lead, designing diagnostic-prognostic control algorithms and training ML models of a directed energy deposition (DED) AM process.
- Location: Clayton, Victoria
- Salary: AU$92k – AU$101k plus up to 15.4% superannuation
- Tenure: Specified term of 3 years