Power Systems Optimisation Specialist

APA Group; Brisbane; On-site; AUD 140,000 - 190,000; Full time

Benefits offered by this job

Flexible working

Wellbeing initiatives

Parental leave

Job summary

APA Group in Brisbane is seeking a Mathematical Optimisation Specialist to join the Asset Intelligence team. The role uses mathematical optimisation and modelling to support operational and investment decisions across the Power business, turning complex challenges into practical, production-ready models.

You'll work with engineering, operations and commercial teams, translating constraints and objectives into Gurobi-based solutions with strong Python implementation and stakeholder communication

Qualifications

• Must have demonstrated experience using Gurobi for mathematical optimisation.
• PhD in Mathematics or closely related quantitative discipline; engineering background preferred.

Responsibilities

• Develop and own mathematical optimisation models for operational and investment decision making.
• Translate operational problems, constraints and objectives into practical mathematical models using Gurobi.
• Analyse asset performance, reliability trends and failure modes to identify opportunities to improve asset utilisation, efficiency and value.
• Develop, test, validate and deploy production ready optimisation solutions using Python, including scenario modelling and sensitivity analysis.
• Collaborate across engineering, operations and commercial teams to integrate optimisation models into decision making.

Skills

Gurobi

Python

Mathematical modelling

Operations research

Stakeholder communication

Optimization

Education

PhD in Mathematics

Tools

Python

Job description

APA Group in Brisbane is seeking a Mathematical Optimisation Specialist to join the Asset Intelligence team. The role uses mathematical optimisation and modelling to support operational and investment decisions across the Power business, turning complex challenges into practical, production-ready models.

You'll work with engineering, operations and commercial teams, translating constraints and objectives into Gurobi-based solutions with strong Python implementation and stakeholder communication