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CSIRO Postdoctoral Fellowship in Machine Learning Model Development for Metal Additive Manufacturing

CSIRO

The Opportunity Are you ready for the next step in your career? Develop and apply machine learning techniques to improve additive manufacturing (AM) 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. The Postdoctoral Fellow will join a large effort in metal additive manufacturing (AM) R&D, working with numerical modellers and experimentalists.

The identification and control of defects is an important component of this research, the Fellow will select, develop and apply machine learning techniques and closed loop control algorithms for AM. This will involve processing and mining of tabular data, regression, statistical inference, visualisation and the development of (python) software based on the reproducible pipeline. Workflows that use interpretable methods are preferred.

The ideal candidate will be highly trained and experienced in ML/data science, with exceptional programming skills. Your duties will include: Develop machine learning (ML) models and associated closed loop control algorithms for controlling defect formation in the metal AM process. Write code using an open source language that can be used in an R&D AM machine to test the strategy developed.

Carry out an extensive literature review at the start of their tenure and identify a few critical defects to focus efforts on. Interact with AM and ML process experts to fine-tune strategies. Location: Clayton, VIC Salary: AU$88k - AU$96k plus up to 15.

4% superannuation Tenure: Specified term of 3 years Reference: 75501 To be considered you will need: A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as Machine Learning, Data Science, Applied Mathematics, Computer Science, Manufacturing, Materials Science, Mechanical Engineering or Metallurgical Engineering. Please note: To be eligible for this role you must have no more than 3 years (or part-time equivalent) of postdoctoral research experience . Demonstrated hands-on experience in training ML models and an excellent understanding of the various types of ML models.

Strong programming skills and a good understanding of data structures relevant to ML. High level written and oral communication skills with the ability to represent the research team effectively internally and externally, including the presentation of research outcomes at national and international conferences. For full details about this role please view the Position Description Eligibility To be eligible for this role, you must be an Australian/New Zealand Citizen, Australian Permanent Resident or Australian temporary resident currently residing in Australia and be able to commence in the role by Decem.

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Date14 September 2021

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