PhD Scholarship in Generative AI for Intelligent Process Safety Management

PhD Scholarship in Generative AI for Intelligent Process Safety Management

Develop next-generation AI tools for intelligent process safety and risk management in energy and chemical industries.

This PhD offers an opportunity to pioneer Generative AI methods for predicting industrial hazards and enhancing safety in hydrogen, battery and chemical plants.

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$35,886

One (1).

  • A background in Chemical Engineering, Computer Engineering, Environmental Engineering, Mechanical Engineering, or a related field.
  • Strong programming and modelling skills (e.g., Python, TensorFlow, PyTorch, and/or MATLAB).
  • Experience or strong interest in process safety and artificial intelligence.
  • Excellent communication and analytical skills.
  • Prior publication record in the relevant field.

31/12/2029

Please send your CV, transcripts and a short statement of interest (max. 500 words) to: Dr. Tanjin Amin (md.tanjin.amin@rmit.edu.au). Applications are open until 30 November 2025 or until the position is filled. For more information, visit the Research scholarships and grants webpage.

The project focuses on developing a Generative AI-based framework for intelligent process safety management. Candidates with expertise or strong interest in chemical process safety, artificial intelligence, risk analysis, or industrial systems modelling are encouraged to apply. Skills in Python, TensorFlow/PyTorch, or Bayesian networks will be highly valued.

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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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