PhD in autonomous discovery of green inhibitors -Modelling and AI

PhD in autonomous discovery of green inhibitors -Modelling and AI

Open up the next generation of materials discovery. You will develop modelling and AI driving autonomous discovery of materials that through robotic systems will dramatically increase the rate of materials discovery

You will explore the nature of metal corrosion inhibitor interactions through advanced molecular modelling and integrate this understanding into the formulation of evolutionary algorithms to discover new inhibitors. You will work with 3 world leading teams.

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$33,826

Applications are now open.

14/08/2028

1 (One).

You must have a first class honours or masters degree in mathematics, computing or chemistry.

Standard RMIT PhD enrolment requirement. Open to Domestic and International Students.
All applicants should email the following to  Ivan Cole@rmit.edu.au :

  • A cover letter, outlining your interest and any prior research and/or relevant work experience
  • Curriculum Vitae
  • Academic transcript

Background in either AI or computational materials modelling is highly desirable.

This scholarship will be governed by RMIT University's Research Scholarship Terms and Conditions.

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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.

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