PhD: Machine Learning for In Situ Materials Characterisation (Melbourne)

PhD: Machine Learning for In Situ Materials Characterisation (Melbourne)

05 Nov
|
Monash
|
Melbourne

05 Nov

Monash

Melbourne

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 setting at Clayton

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📌 PhD: Machine Learning for In Situ Materials Characterisation (Melbourne)
🏢 Monash
📍 Melbourne

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