Senior Specialist Modelling & Analysis
at Fortescue Metals Group
Perth, Western Australia, Australia -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 08 Jul, 2024 | Not Specified | 09 Apr, 2024 | 4 year(s) or above | Machine Learning,Discrete Event Simulation,Rail Operations,Anylogic,Mathematics,Linear Programming,Statistics,Uncertainty | No | No |
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Description:
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.
QUALIFICATIONS AND EXPERIENCE
- Degree in mathematics, statistics, engineering or science
- Experience (4+ years) in simulation modelling & analysis in the mining or heavy industry sector
- Experience in simulation modelling of mining operations, processing plant operations, rail operations and port operations (beneficial)
- Exceptional analytical and problem-solving skills
- The ability to communicate complex technical concepts and insights to a range of stakeholders
- Proficiency in statistical methods for simulation modelling, including input and output analysis, and experimental methods for assessing uncertainty
- Proficiency in a discrete-event simulation modelling language such as AnyLogic, Arena, JaamSim or SimPy
- Proficiency in Python / R for model input and output analysis as well as experimentation management
- Experience in other operations research techniques (linear programming, combinatorial optimisation) and machine learning is well regarded
Responsibilities:
- Using a mix of first-principles approaches and dynamic simulation models to assess the impact of changes to our integrated operations, including both major capital and minor capital / productivity initiatives
- Assessing the baseline capacity of our operations as part of our 2-year and 10-year planning processes
- Managing the simulation experimentation process including defining and managing input sets for baseline, scenarios and sensitivity analyses
- Analysing simulation results, including statistical analysis of performance across replications and detailed analysis of operations dynamics
- Developing new models and changes to existing models, including verification and validation
- Periodically validating the models for capacity forecasting, including comparing actual and simulated performance, and identifying changes to data & logic
- Support the development and maintenance of supporting toolkits, including input analysis, experimentation management and results analysis
- Communicating insights and modelling drivers for results to a range of operations stakeholders
REQUIREMENT SUMMARY
Min:4.0Max:9.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Engineering, Mathematics, Statistics
Proficient
1
Perth WA, Australia