Job Description
About the Role
Enable stable, predictable, and optimised processing operations through the design, deployment, and sustained adoption of digital process control, advanced analytics, and system-enabled optimisation capabilities. This role is accountable for how the plant is controlled and enabled rather than metallurgical ownership.
Key Responsibilities
- Provide technical input and optimisation requirements into the definition, review, and maintenance of MES (Level 23) data context standards.
- Design, deploy, and continuously improve loop tuning and Advanced Process Control programmes.
- Develop and maintain analytical models to quantify process stability, variability drivers, control effectiveness, and optimisation benefits.
- Perform diagnostic and statistical analytics, including trending, variance analysis, correlation analysis, and regime detection.
- Interpret high-level plant indicators such as instability, excursions, and abnormal operating conditions.
- Analyse operational variability driven by feed changes, operating modes, and process conditions to improve detect-to-correct response through system-based logic and automation.
- Implement and technically support dynamic water balance systems.
Requirements
- BEng or BSc in Chemical Engineering, Industrial Engineering, Electrical (Control) Engineering, or equivalent.
- Minimum of 5 years experience in process control, advanced automation, or analytics-driven optimisation within mineral processing or heavy industrial environments.
- Hands-on experience in loop tuning, APC deployment, and control optimisation.
- Proven ability to apply analytics to explain operational variability and quantify optimisation impact beyond descriptive reporting.
Qualifications
- Lean or Six Sigma certification.
- APC, MES, control systems, or industrial analytics certifications.
Salary & Benefits
No information provided.
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