![Fortescue Metals Group](https://media.trabajo.org/img/noimg.jpg)
Lead Optimisation
2 months ago
Country/Region: AU- State: WA- City: Perth- Job ID: 3853**About Us**:
- Fortescue is both a proud West Australian company and a global green solutions business. We are recognised for our culture, innovation and industry-leading development of infrastructure, mining assets and green energy initiatives._
**Our Opportunity**:
**Work Location**:Fortescue Centre & Bennett St
- Fortescue’s Perth office is located on the traditional lands of the Whadjuk Noongar people.
**Roster**:Monday to Friday
We are currently seeking a highly motivated, hands-on Lead Operations Research and Optimisation to join our Autonomy Operations team. Reporting to the Principal Optimisation and Performance, the Lead Optimisation is instrumental in developing and implementing optimisation solutions for our Haul Truck fleet Assignment Engine within our mining operations. The role is also accountable for developing and delivering a simulation environment to test different methods and assess the impact.
**Key Responsibilities**:
- Accountable for the team that will Implement industry-leading Operations Research techniques to drive optimisation solutions
- Develop and implement optimisation solutions and models for the Haul Truck fleet assignment engine.
- Accountable for the development of a simulator to test the Optimisation Solution with the historical site data to assess the performance before deploying.
- Proficiency with Optimisation and Solver libraries in Python, Matlab, R or similar technologies like Gurobi
- Collaborate with the existing fleet management system team, ensuring seamless integration and interoperability with the optimisation solution. The fleet management system is in C# primarily.
- Work closely with Business Analysts to understand and map the impact of optimisation changes to functional requirements.
- Collaborate with Project Engineers to assess and enhance performance measures for Autonomy Projects related to fleet management.
- Maintain strong relationships with key stakeholders in processing, mining, integrated planning, and mine control.
**Qualifications and Experience**:
- Bachelor’s degree in an Engineering Field, Mathematics, or Computer Science.
- 7+ years of experience in real world operations research optimisation with a focus on fleet management within the Mining Industry.
- Strong expertise in optimisation tools and techniques.
- Theoretical and practical knowledge in Linear Optimisation, Network Optimisation and Stochastic Optimisation. Proficiency in Geospatial data
- Strong background in Descriptive and Inferential Statistics
- Experience with integration of optimisation solutions into existing systems
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Strong problem-solving skills.
**Our Commitment**:
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