Energy Optimisation Specialist (Gurobi/Python)

APT MANAGEMENT SERVICES; Brisbane; On-site; AUD 150,000 - 190,000; Full time

Benefits offered by this job

Flexible working arrangements

Parental leave 18 weeks

Wellbeing programs

Competitive remuneration

Job summary

APA, Australia's energy infrastructure partner, invites applications for a Mathematical Optimisation Specialist to join the Asset Intelligence team in Brisbane. The role uses mathematical optimisation and modelling to support operational and investment decisions across our Power business, turning complex problems into production-ready solutions.

You will work with engineering, operations and commercial teams, translate constraints into practical models using Gurobi and Python, and deliver

Qualifications

• Experience using Gurobi for optimisation.
• PhD in Mathematics or related quantitative discipline; engineering background preferred.
• Strong Python capability and ability to develop analytical/optimisation solutions.
• Experience translating real-world problems into mathematical models.
• Excellent communication with stakeholders to translate outputs into decisions.

Responsibilities

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

Skills

Gurobi

Python

Mathematical modelling

Stakeholder communication

Education

PhD in Mathematics or related quantitative discipline

Undergraduate Electrical/Mechanical Engineering

Tools

Python

Job description

APA, Australia's energy infrastructure partner, invites applications for a Mathematical Optimisation Specialist to join the Asset Intelligence team in Brisbane. The role uses mathematical optimisation and modelling to support operational and investment decisions across our Power business, turning complex problems into production-ready solutions.

You will work with engineering, operations and commercial teams, translate constraints into practical models using Gurobi and Python, and deliver