Green Lithium Recovery from Hard Rock Ores Using Low-Carbon Process Intensification

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The global transition to electrification and renewable energy systems has led to rapidly increasing demand for lithium, a critical component of lithium-ion batteries. Current lithium production from hard rock sources such as spodumene is energy-intensive and carbon-intensive, relying on high-temperature processing and conventional chemical routes that contribute significantly to greenhouse gas emissions. There is an urgent need to develop innovative, low-carbon pathways to ensure sustainable lithium supply chains aligned with net-zero targets.
This project proposes the development of a sustainable lithium extraction framework based on integrated low-carbon processing concepts. The approach explores alternative reagents, energy-efficient process pathways, and data-driven optimisation tools to reduce the environmental footprint of lithium recovery from hard rock resources. The research will focus on enabling process intensification and improved resource efficiency while maintaining technical and economic viability.
Importantly, the project emphasises high-level process development and system-level integration, without disclosing confidential design parameters or proprietary methodologies, thereby supporting future intellectual property generation.

Aim  

The overarching aim of this project is to establish a scientifically validated and environmentally sustainable framework for lithium extraction from hard rock ores that significantly reduces energy consumption and emissions compared to conventional processes.
The project seeks to:

  • Develop low-carbon processing pathways for lithium recovery
  • Integrate data-driven tools to optimise process efficiency and performance
  • Evaluate environmental and economic performance of alternative lithium extraction routes

Objectives 

To achieve these aims, the project will address the following key objectives:

  • Process Innovation:
    Investigate alternative processing approaches for lithium extraction that reduce reliance on conventional high-temperature and chemically intensive methods.
  • Process Integration and Optimisation:
    Apply data-driven methodologies, including advanced modelling and optimisation techniques, to enhance process efficiency, improve resource utilisation, and reduce waste generation.
  • Sustainability Assessment:
    Perform life cycle and techno-economic assessments to quantify environmental and economic benefits relative to existing industrial practices.
  • Scalability and Industry Relevance:
    Evaluate the feasibility of translating developed concepts into scalable solutions suitable for industrial adoption within the minerals processing sector.

Significance 

This project addresses a critical challenge in the global energy transition by advancing sustainable lithium production technologies. By reducing the carbon footprint of lithium extraction, the project contributes directly to decarbonising battery supply chains and supporting renewable energy deployment.
The expected outcomes include:

  • New knowledge in low-carbon mineral processing pathways
  • Frameworks for integrating sustainability and process optimisation in resource extraction
  • Evidence-based insights to guide industry adoption of greener lithium processing technologies

The project aligns with national and global priorities on critical minerals, decarbonisation, and circular economy principles. It also strengthens collaboration opportunities between academia and industry by providing a foundation for future innovation and commercialisation, while preserving intellectual property opportunities through non-disclosure of enabling technical details.

Ideal Candidate 

The preferred PhD applicant will have a strong background in chemical engineering, metallurgical engineering, materials science, or a related discipline. Essential skills include understanding of mineral processing or reaction engineering, and demonstrated ability in experimental design and data analysis. Experience with process modelling, machine learning, or sustainability assessment (e.g., LCA/TEA) is desirable. The candidate should possess strong problem-solving skills, programming proficiency (e.g., Python), and the ability to work independently and collaboratively within an interdisciplinary research environment focused on sustainable resource extraction. Additionally, the applicants should meet the eligibility criteria for entry into a PhD program at Curtin University. 

This project is open to International and Domestic applicants.  

Scholarship  

If you are identified as the preferred candidate for this project, you may be considered for an RTP scholarship

Enquires and How to Apply 

For enquires about this opportunity contact Dr Sheila Devasahayam at Sheila.Devasahayam@curtin.edu.au

To formally apply submit an Expression of Interest to Dr Sheila Devasahayam during the Central Scholarship round (July 1st – July 31st 2026) 

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