Research Associate - Energy Management & AI

• This Job is based in Australia
• Research Associate
• Energy Management & AIApply now Job no: 538762Work type: Full Time
• Location: Sydney, NSW, Canberra, ACTCategories: Post Doctoral Research Associate
• Research Associate
• Engergy Management & AI, UNSW Canberra
• Employment type: Fixed-term, full-time (35 hrs per week)
• Duration: 10 months
• Remuneration: Level A from $118,467 plus 17% super
• Location: UNSW Canberra, ADFA Campus OR UNSW Sydney, Kensington Campus
• About UNSW Canberra
• University of New South Wales (UNSW) in Canberra has multiple locations in the Nation’s Capital.UNSW Canberra distinguishes itself from other institutions by its commitment to being thoughtful, practical, and purposeful in all endeavours.
• This combined approach is integral to the university's impact and contributes to its recognition as Australia’s #1 university, one of the top 20 universities globally, as well as a proud member of Australia's esteemed Group of Eight.
• Choosing a career at UNSW means embracing an environment where thriving, facing challenges, and engaging in meaningful work are not just encouraged but integral to the university experience.
• If you seek a career where you can excel and contribute meaningfully, you've found the right place.

At UNSW, we pride ourselves on being a workplace where the best people come to do their best work.

Why

Your Role

MattersUnder the direction of the project’s UNSW lead, the Research Associate will be involved in conducting the technical tasks of the project. The role of Research Associate reports to the project’s UNSW lead and has no direct reports.

The position will involve research activity in multidisciplinary settings requiring strong artificial intelligence, electrical engineering, power systems programming, and scientific writing skills. The Research Associate will contribute to the development of research results and their publication in international journals or conferences.

Who You Are

• (skills And Experience) A PhD in Data Analytics, Energy Management Systems, Artificial Intelligence, Optimisation, Computer Science, or a similar discipline, in addition to demonstrated strong performance in research in the areas of autonomous systems, autopilots, swarm and robotics, or similar areas.
• A demonstrated ability to conduct innovative research.
• Excellent interpersonal, oral, and written communication skills appropriate for interacting effectively with team members, collaborators, and colleagues across the Faculty.
• Demonstrated ability to work as a member of a multi-disciplinary team, showing initiative and taking direction as appropriate to the situation.
• Demonstrated ability to complete tasks within agreed time frames, with suitable supervision.

Benefits And CultureUNSW is committed to helping staff balance work-life responsibilities, by providing access to high-quality services, facilities, and flexible work and leave arrangements.

• Flexible working options (work from home, flexible hours etc) Additional three days leave during December festive period
• Career development opportunities Up to 50% discount on UNSW courses
• Flexible 17% superannuation contributions, additional leave-loading payments and salary sacrifice
• Free gym access
• UNSW-wide strategy to focus on Healthy Body, Healthy Mind, Healthy Places and Healthy Culture.

Eligibility

• Candidates must be Australian Citizens to be considered for this role.
• The University reserves the right not to proceed with any appointment.
• 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.

How To Apply

Make each day matter with a meaningful career at UNSW. Submit your application online before Wednesday 8 July 2026 at 11:30pm, including your CV and a 1–2-page cover letter addressing the required skills and experience outlined in the position description.

In order to view the position description, please ensure that you allow pop-ups for https://www.jobs.unsw.edu.auGet In TouchFor role-related queries, please contact (UNSW lead):

• Ripon Chakrabortty
• Senior Lecturerr.chakrabortty@unsw.edu.au
• For Recruitment Process-related Queries Please Contact
• Holly Whale
• Talent Acquisition Consultanth.whale@unsw.edu.au
• Applications cannot be accepted if sent directly to the contact listed.

Find out more about the lifestyle and benefits when working with UNSW For further information about UNSW Canberra, please visit: UNSW Canberra For further information on living in Canberra, please visit: Living in CanberraUNSW is committed to equity diversity and inclusion.

Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff.

Position

Description

Advertised: 24 Jun 2026 AUS Eastern Standard TimeApplications close: 08 Jul 2026 AUS Eastern Standard TimeBack to search results Apply now Refer a friendWhatsapp Facebook LinkedIn Email App