Overview
This is an exciting opportunity for prospective PhD candidates to join the Optimisation and Logistics group at the School of Computer and Mathematical Sciences, The University of Adelaide, Australia. The scholarship focuses on the project titled “Collaborative AI-Based Optimisation for Sustainable Resource Extraction in South Australia’s Copper and Gold Mining Sector.” This initiative is significant for the AI and machine learning community, as it aims to enhance productivity in the mining industry through innovative AI techniques.
Background & Relevance
The field of optimization is crucial in various sectors, including resource extraction, where decision-making and planning are vital for efficiency and sustainability. The application of AI, particularly through bio-inspired algorithms and machine learning, can revolutionize how industries approach complex problems. This project is particularly relevant as it addresses the pressing need for sustainable practices in resource extraction, aligning with global efforts to improve environmental outcomes.
Key Details
- Application Deadline: 17 November 2025
- Location: The University of Adelaide, Australia
- Project Focus: AI-based optimization for sustainable resource extraction in mining
- Supervisor: Dr. Aneta Neumann
- Additional Information: Dr. Aneta Neumann’s Profile
- Application Instructions: Application Link
Eligibility & Participation
This PhD position is aimed at candidates with a strong foundation in optimization algorithms and a solid mathematical background. Ideal applicants should be equipped to tackle stochastic challenges inherent in the project, making this an excellent opportunity for those with relevant expertise in AI and optimization.
Submission or Application Guidelines
Interested candidates should follow these steps to apply:
1. Review the project details and eligibility requirements.
2. Prepare necessary application materials as outlined in the application instructions.
3. Submit your application by the deadline of 17 November 2025.
Additional Context / Real-World Relevance
The integration of AI in the mining sector not only enhances productivity but also promotes sustainable practices, which are increasingly important in today’s environmentally conscious landscape. By focusing on resource optimization, this project contributes to the broader discourse on how technology can be leveraged to meet both economic and ecological goals.
Conclusion
This fully funded PhD position presents a unique chance to contribute to meaningful advancements in AI and resource management. Prospective students are encouraged to explore this opportunity and apply to be part of a transformative project in the mining industry.
Category: PhD & Postdoc Positions
Tags: phd, ai, optimization, machine learning, sustainable resources, mining, adelaide, bio-inspired algorithms
