PhD: Machine Learning for In Situ Materials Characterisation in Melbourne

PhD: Machine Learning for In Situ Materials Characterisation in Melbourne

Melbourne Full-Time On-site
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Monash University is inviting applications for a PhD in Machine Learning for In Situ Materials Characterisation in the Department of Materials Science and Engineering. The project aims to develop ML methods to learn representations from complex in situ datasets generated by advanced characterization techniques.

The successful candidate will work with experimental data from electron microscopy, EBSD, XRD and X-ray imaging, supervised by Dr Yuxiang Wu, in a vibrant research environment at Clayton

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PhD: Machine Learning for In Situ Materials Characterisation in Melbourne employer: Monash

Monash University is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration at the Caulfield campus. With a strong commitment to research-led teaching, employees benefit from extensive professional development opportunities, mentorship, and the chance to engage with industry leaders, making it an ideal environment for those passionate about shaping the future of marketing education.

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Contact Details:

Monash Recruitment Team