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The Opportunity:

The Research Associate will contribute to an ARC Discovery Project that aims to research and develop a framework to optimise the schedule and operation of electrified transport fleets, such as buses, trucks and aircraft. The framework will account for schedule uncertainty and adapt to factors such as battery health, charger availability and unexpected delays. Expected outcomes include improved reliability and efficiency, extended battery life, and reduced operational costs. The role of Research Associate reports to Assoc. Prof. Branislav Hredzak.

• Salary, Level A - $118,467 per annum + 17% superannuation
• Full Time
• Fixed-term contract for 2 years 6 months
• Location: Kensington – Sydney, Australia
• Start date will be from September 2026

About UNSW:

UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and talented community; a community doing extraordinary things. But what makes us different isn’t only what we do, it’s how we do it. Together, we are driven to be thoughtful, practical, and purposeful in all we do. If you want a career where you can thrive, be challenged and do meaningful work, you’re in the right place. The UNSW School of Electrical Engineering and Telecommunications is one of the largest and most prestigious schools of its kind in Australia. In the last 70 years, our school has grown out of a purely teaching institution to one which has made important contributions to the development of electrical engineering in Australia and globally.

Skills & Experience:

• A PhD (or soon to be awarded) in Electrical Engineering, Power Systems, Energy Systems, Artificial Intelligence, Machine Learning, or a closely related field.
• In-depth knowledge of modern power and energy systems, including distributed energy resources, renewable energy integration, system stability, security, network analysis, energy storage, and operational optimisation.
• Strong research background in artificial intelligence, machine learning, and mathematical optimisation, with demonstrated applications to real-world engineering problems in energy, infrastructure, transport electrification, or closely related domains.
• Proven ability to develop and critically evaluate data-driven methods and computational models for forecasting, decision support, and system operation.
• Familiarity with privacy-aware and distributed learning approaches, as well as awareness of emerging advanced AI techniques relevant to engineering research.
• Demonstrated ability to undertake high quality academic research and conduct independent research with limited supervision.
• Demonstrated track record of publications and conference presentations relative to opportunity.
• Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
• Evidence of highly developed interpersonal skills.
• Demonstrated ability to communicate and interact with a diverse range of stakeholders and students.

Pre-Employment Checks:
Aligned with UNSW’s focus on cultivating a workplace defined by safety, ethical conduct, and strong integrity preferred candidates will be required to participate in a combination of pre-employment checks relevant to the role they have applied for. These pre-employment checks may include a combination of some of the following checks:

• National and International Criminal history checks
• Entitlement to work and ID checks
• Working With Children Checks
• Completion of a Gender-Based Violence Prevention Declaration
• Verification of relevant qualifications
• Verification of relevant professional membership
• Employment history and reference checks
• Financial responsibility assessments/checks
• Medical Checks and Assessments

Compliance with the necessary combination of these checks is a condition of employment at UNSW. To be considered you will hold Australian Working Rights or Australian Citizenship. Visa sponsorship is not available for this appointment. Additional details about the specific responsibilities for these positions can be found in the position description. This is available via JOBS@UNSW.

To Apply:

Please click the apply now button and submit your CV, Cover Letter and Responses to the Skills and Experience. You should systematically address the Skills and Experience listed within the position description in your application. Please note: Visa sponsorship is not available for this position.

Please note applications will not be accepted if sent to the contact listed below.

Contact:

Allyssar Hamoud – Talent Acquisition Associate
E: a.hamoud@unsw.edu.au

Applications close: 11:55 pm (Sydney time) on Monday 29^th June 2026

UNSW is committed to evolving a culture that embraces equity and supports a diverse and inclusive community where everyone can participate fairly, in a safe and respectful environment. We welcome candidates from all backgrounds and encourage applications from people of diverse gender, sexual orientation, cultural and linguistic backgrounds, Aboriginal and Torres Strait Islander background, people with disability and those with caring and family responsibilities. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.

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