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- Tasks: Join a dynamic team to innovate in AI and production scheduling.
- Company: UNSW Canberra is a top global university focused on impactful research.
- Benefits: Enjoy flexible work arrangements, generous superannuation, and employee discounts.
- Why this job: Make a difference in defence technology while collaborating with experts in AI.
- Qualifications: PhD in relevant fields and strong research experience required.
- Other info: Australian citizenship is necessary; visa sponsorship not available.
The predicted salary is between 80000 - 120000 ÂŁ per year.
Research Associate – Data Analytics and Decision Making
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Research Associate – Data Analytics and Decision Making
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This Job is based in Australia
Research Associate – Data Analytics and Decision Making
Employment type: Full-time (35 hours per week)
Duration: Fixed term contract, 12 months
Remuneration: Level A, Step 6 from $113,911 plus 17% super
Location: Canberra, ACT OR Sydney, NSW
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 one of the top 50 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.
The Defence Trailblazer for Concept to Sovereign Capability is a $250 million enterprise powered by UNSW and UoA, with funding from the Australian Government through the Trailblazer Universities Program, as well as university and industry partners. Our mission is to accelerate the commercialisation of research for the Australian Defence Force (ADF), develop education training pathways, fast-track entrepreneurs\’ ideas to commercialisation, and enhance collaboration between Industry, government, and academia.
Why Your Role Matters
You will join a high-performing interdisciplinary research group, the Decision Support & Analytics Research Group (DSARG), with clear aims to bring innovations at the interface of artificial intelligence and production scheduling and predictive maintenance. You will work with the School of Systems & Computing, a hub of experts on AI, Cyber and Systems Engineers. The
About The Project And The Role
Ocius Technology and UNSW Canberra are partnered on a project to increase the rapid scaling of production of Uncrewed Surface Vessels (USVs). Supported by funding from Defence Trailblazer, the project is developing an integrated production and maintenance facility, along with an Artificial Intelligence (AI)-powered logistics support framework, led by Dr. Ripon K. Chakrabortty, Founder & Leader of DSARG, School of Systems & Computing, UNSW Canberra.
The Ocius Bluebottle USV fleet is powered by renewable energy, utilizing solar, wind, and wave power, or a combination of energy sources, and offers economic and operational advantages over conventional methods. Ocius is a key supplier to the Royal Australian Navy (RAN), and this collaborative project will directly support Australia’s security by scaling production and supporting a capable and resilient sovereign supply chain.
Under the direction of the project’s UNSW lead, the Research Associate will be involved in conducting the technical tasks of the project, primarily related to flexible workspace layout design and AI-based predictive maintenance models.
Who You Are
Our ideal candidate will have
- A PhD in Data Analytics, Industrial Engineering, Artificial Intelligence, Computer Science or similar discipline in addition to demonstrated strong performance in research in the areas of Production and Layout Design, Facility Planning, AI-based tools for Predictive and Preventive Maintenance.
- Demonstrated ability to undertake high-quality academic research and conduct independent research, preferably in AI and supporting areas.
- Software skills, involvement in the profession and/or Industry, and experience working with Enterprise Resource Planning (ERP) and Integrated Logistics Support (ILS) systems would be considered added benefits.
- Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
- Excellent interpersonal, oral and written communication skills appropriate for interacting effectively with team members, collaborators and colleagues across the Faculty.
- A demonstrated ability to complete tasks within agreed time frames with suitable supervision.
Benefits And Culture
UNSW is committed to helping staff balance work-life responsibilities, by providing access to high-quality services, facilities, and flexible work and leave arrangements.
- Generous superannuation contributions
- Employee discounts
- A commitment to life long learning
- UNSW-wide strategy to focus on Healthy Body, Healthy Mind, Healthy Places and Healthy Culture.
Eligibility
The successful candidate will be required to undertake pre-employment checks prior to commencement in this role. The checks that will be undertaken are listed in the Position Description. You will not be required to provide any further documentation or information regarding the checks until directly requested by UNSW.
Candidates must hold Australian citizenship to be considered for this position. The successful candidates must be eligible to obtain and maintain a Baseline Security Clearance (i.e. Australian Citizen). Visa sponsorship is not available for this position.
The University reserves the right not to proceed with any appointment.
How To Apply
Make each day matter with a meaningful career at UNSW. Please apply via our online recruitment system.
In Your Application, Please Include
- your CV
- a 2-page cover letter addressing the skills and experience outlined in the Position Description.
Applications Close: Wednesday 6 August 2025 at 11:55 pm
Contact:
For role-related queries please contact:
Dr Ripon K. Chakrabortty
r.chakrabortty@unsw.edu.au
For Recruitment Process Related Queries Please Contact
Holly Whale – Talent Acquisition Consultant
h.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 Canberra
UNSW 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.
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Research Associate - Data Analytics and Decision Making employer: UNSW
Contact Detail:
UNSW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Associate - Data Analytics and Decision Making
✨Tip Number 1
Familiarise yourself with the latest trends in data analytics and AI, especially as they relate to production scheduling and predictive maintenance. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the field of data analytics and AI, particularly those who have experience in academia or defence-related projects. Engaging with these individuals can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your previous research experiences in detail, focusing on how they relate to the responsibilities outlined in the job description. Be ready to explain your methodologies and the impact of your work.
✨Tip Number 4
Showcase your teamwork and collaboration skills by preparing examples of past projects where you worked effectively within a team. Highlighting your ability to build relationships across disciplines will be crucial for this role.
We think you need these skills to ace Research Associate - Data Analytics and Decision Making
Some tips for your application 🫡
Tailor Your Cover Letter: Craft a 2-page cover letter that specifically addresses the skills and experience outlined in the job description. Highlight your PhD and any relevant research in Data Analytics, AI, or related fields.
Showcase Relevant Experience: In your CV, emphasise your previous research projects, particularly those involving production and layout design or AI-based predictive maintenance. Use quantifiable achievements to demonstrate your impact.
Highlight Interpersonal Skills: Since collaboration is key for this role, make sure to mention your ability to work in teams and build effective relationships. Provide examples of past teamwork experiences in your application.
Proofread Your Application: Before submitting, thoroughly proofread your CV and cover letter for any errors. Clear, concise, and professional writing will make a strong impression on the hiring team.
How to prepare for a job interview at UNSW
✨Showcase Your Research Skills
Be prepared to discuss your previous research experiences in detail. Highlight any projects related to data analytics, AI, or predictive maintenance, as these are crucial for the role.
✨Demonstrate Team Collaboration
Since the role involves working within an interdisciplinary group, share examples of how you've successfully collaborated with others in past projects. Emphasise your ability to build effective relationships across disciplines.
✨Prepare for Technical Questions
Expect technical questions related to data analytics and AI tools. Brush up on relevant software skills and be ready to explain your approach to problem-solving in these areas.
✨Communicate Clearly
Strong communication skills are essential. Practice articulating your thoughts clearly and concisely, especially when discussing complex topics. This will help you connect with the interviewers and demonstrate your interpersonal skills.