Mathematical Optimisation Specialist

C015 APT MANAGEMENT SERVICES PTY LIMITED; Brisbane; Hybride; AUD 140 000 - 190 000; Plein temps

Avantages offerts par ce poste

Career development

Competitive remuneration

Flexible working arrangements

Wellbeing initiatives

Parental leave (18 weeks)

Résumé du poste

APA is seeking a Mathematical Optimisation Specialist in Brisbane to turn complex operational and commercial challenges into practical models. You will develop and own optimisation models using Gurobi, translate constraints into mathematical frameworks, and deploy production-ready solutions with Python across asset management.

The role partners with engineering, operations and commercial teams to drive decision intelligence for energy infrastructure.

Qualifications

• Must have demonstrated experience using Gurobi for mathematical optimisation (constraints & objective function programming).
• PhD in Mathematics or related quantitative field; preference for undergraduate Electrical/Mechanical Engineering.
• Experience in mathematical optimisation/operations research translating real-world problems into models.
• Strong Python capability and experience developing analytical or optimisation solutions for operational environments.
• Strong communication and stakeholder skills to explain complex concepts to business stakeholders.

Responsabilités

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

Connaissances

Mathematical optimisation

Python

Stakeholder communication

Operations research

Formation

PhD in Mathematics or quantitative discipline

Undergraduate Electrical/Mechanical Engineering

Outils

Gurobi

Python

Description du poste

At APA, our purpose is to secure Australia’s energy future. We’re not doing it alone. We’re doing it with our customers and communities as Australia’s energy infrastructure partner, a role our unique experience and expertise positions us to play.

Reporting to our Manager Asset Intelligence, we have an opportunity for a Mathematical Optimisation Specialist to join our Asset Intelligence team.

This new role will use mathematical optimisation and modelling to support operational and investment decisions across our Power business. You’ll turn complex operational challenges, constraints and commercial objectives into practical models that provide decision intelligence into how we operate our assets.

Working across operational and commercial teams, you’ll take optimisation from business problem through to practical, production ready solutions.

The preferred location for this role is Brisbane, however we’re also open to candidates based in Sydney or Melbourne.

Key Responsibilities

• Develop and own mathematical optimisation models that support operational and investment decision making, including dispatch optimisation, simulation and predictive modelling.
• Translate operational problems, constraints and commercial objectives into practical mathematical models using Gurobi and related optimisation techniques.
• 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 develop practical solutions and integrate optimisation models into operational decision making.

Your background

• You will have demonstrated experience using Gurobi for mathematical optimisation (Constraints & objective function programming) as this is a must have requirement for the role.
• You will have a PhD in Mathematics or a closely related quantitative discipline, with a strong foundation in mathematical modelling and optimisation. The preference will be a candidate with undergraduate electrical / mechanical engineering qualification.
• You will have experience in mathematical optimisation and/or operations research, translating real world problems and constraints into practical mathematical models.
• You will have strong Python capability and experience developing analytical or optimisation solutions for operational environments.
• You will have strong communication and stakeholder skills, with the ability to explain complex mathematical concepts to business stakeholders and translate analytical outputs into business decisions and recommendations

Working at APA

At APA, we’re committed to fostering a safe and inclusive workplace where you can achieve your best.

We offer targeted career development programs designed to accelerate your career, competitive remuneration, employee benefits, flexible working arrangements, and wellbeing initiatives are all part of what we’ll offer you. Our inclusive parental leave policy offers 18 weeks of leave, including superannuation, to support parents at work and in life.

We employ around 2,000 people across Australia and are committed to building a high-performing, customer-focused organisation where everyone feels safe, valued, and trusted to perform at their best.

We are APA

At APA, we’re taking on one of Australia’s greatest challenges: the energy transition. We’re not doing it alone. We’re doing it as Australia’s energy infrastructure partner, a role our unique experience and expertise positions us to play.

We proudly own, operate and manage a diverse $20 billion portfolio of assets which deliver essential services to communities and customers across Australia. And we own more than 15,000 kilometres of gas pipelines which deliver energy to households and businesses across every corner of Australia.

As the partner of choice in delivering infrastructure solutions for the energy transition, we’re focused on bundled remote grid energy solutions, electricity and gas transmission, and future energy, including hydrogen and carbon capture and storage.

Our customer focused approach means we understand our customers and offer them reliable, innovative, and cost-effective energy solutions that support their decarbonisation ambitions.

We are committed to securing Australia’s energy future by delivering infrastructure solutions for Australia’s energy transition and supporting the decarbonisation ambitions of our customers and communities.

Join our team and be part of securing Australia’s energy future.

APA is an equal opportunity employer. The safety, health and wellbeing our people, community and environment a priority. We embrace diversity in our people to ensure our workforce is representative of the communities that we operate in.

Applicants must be eligible to work in Australia to be considered.

This vacancy works with critical APA data, systems or infrastructure and candidates are subject to background vetting (including Police checks) before & during employment.

Role closes on Wednesday, 11 November 2026. Role Reference Number: JR5189