Research Associate in Machine Learning

Macquarie University Hospital

Sydney

On-site

AUD 104,000 - 113,000

Full time

2 days ago
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Benefits offered by this job

Flexible, hybrid work arrangements
17% Superannuation
Onsite childcare facilities
Training and professional development
Discounted health insurance

Job summary

Macquarie University invites applications for a Research Associate to advance theoretical AI and machine learning foundations. You will work on deep variational and decentralized learning, developing theoretical frameworks and publishing results in premier venues.

You will join a competitive, globally represented team with supervision from the project leader, contributing to a focused program of foundational AI research at Macquarie University.

Qualifications

  • Master by Research or higher in AI, data science or ML.
  • Demonstrated research outputs in AI/ML, statistics, information theory, visualization and data analytics.
  • Ability to publish at top-tier venues and collaborate with diverse teams.

Responsibilities

  • Develop fundamental models for deep variational and decentralized learning.
  • Conduct modelling, analytical and visualization tasks relevant to the project.
  • Publish findings in top-tier venues and collaborate with a diverse team.

Skills

Research expertise
Statistics
Machine learning
Information theory
Visualization

Education

Master by Research or higher in AI/Data science

Tools

Deep learning frameworks

Job description

Advance the theoretical foundations of machine learning, publish in premier venues and help shape the next generation of AI research. · Annual salary package: $104,481 (ACA Level A.4) - $112,550 (ACA Level A.6/ PhD awarded rate) plus 17% superannuation & annual leave loading · Full-time, fixed term appointment until end of July 2027 · Macquarie University, Wallumattagal Campus, North Ryde

Machine learning is moving beyond centralised data and single models. Deep variational and decentralised learning sit at the frontier of this shift, and the theory that underpins them is still being written. This is an opportunity to help write it.

The Role

We seek a highly motivated and competitive research associate to work on foundational research in deep variational and decentralized learning. This role gives you unique opportunities to Explore deep variational and decentralized machine learning theories Develop theoretical foundations and publish results in competitive venues Work with a competitive team with wide global representativeness Under the supervision of the project leader, you will contribute to a focused program of foundational AI research.

  • Develop fundamental models for deep variational and decentralized learning.
  • Conduct relevant modelling, analytical and visualization tasks.
  • Publish the findings in top-tier events.
About Us

We are a group of highly active, dynamic and productive research team based in the AI Lab in the School of Computing and the Frontier AI Research Centre at Macquarie University. The team is committed to high-profile research activities relating to major grants, industry engagement, and international collaboration. The team consists of hierarchical diverse profiles of stakeholders from senior leaders to active academic staff, HDR students, postdoctoral researchers, to visitors.

About You

You are an experienced researcher with relevant qualification in the areas relating to AI, data science, and machine learning; demonstrated experience in coordinating a research team and assisting research leaders and academic staff; demonstrated outcomes in applied statistics, advanced analytics, machine learning, optimization methods, information theory, visualization, etc. areas through contributing to research projects; skills and satisfactory results in communicating with broad stakeholders including intensive publication experience.

Selection Criteria
  • Master by Research or higher level of qualifications in the areas of AI, data science, machine learning, or relevant areas
  • Demonstrated research expertise in areas including applied statistics, machine/deep learning, information theory, visualization, and data analytics
  • Evidence of research outputs such as a strong track record in continuously publishing at top-tier venues as the main contributor
  • Ability to collaborate with relevant teams, partners, participants or stakeholders
Role Specific Requirements

The successful candidate must be able to work within any applicable project confidentiality, contracting and security requirements.

The successful candidate will be required to undergo a National Police/ Criminal History Check and a qualification check.

An international police/ criminal history check may also be required, depending on the candidate's circumstances.

*** Appointment will also be subject to compliance with applicable Defence-related legislation and project security requirements, including Defence Export Controls and Safeguarding Australia’s Military Secrets legislation where relevant.

Note: Candidates must be onshore and have valid Australian work rights for the duration of the appointment.

We reserve the right to progress or decline applications prior to the application closing date.

The Faculty of Science and Engineering at Macquarie University aims to increase the engagement of women, Aboriginal and Torres Strait Islander peoples, and people from diverse backgrounds in STEMM roles.

Applications are considered holistically, and candidates are encouraged to apply even if their experience does not meet each individual selection criterion.

Pre-Employment Checks

Macquarie University cultivates a workplace defined by safety, ethical conduct, and strong integrity. Prior to completion of an offer of employment, preferred candidates will be required to participate in a combination of pre-employment checks relevant to the role they have applied for. Your employment is conditional upon the completion and maintenance of all role-required pre-employment or background checks in terms satisfactory to the University.

Why Join Us?

We rank amongst the top employers in the Australian Workplace Employers Index. Explore the fantastic benefits available to you when you become part of the team at Macquarie University. Our prime location is just a short walk from Macquarie University Metro Station and Macquarie Shopping Centre.

Enjoy the benefits of working at a campus that offers:

  • 17% Superannuation
  • Subsidised onsite parking options
  • Flexible working options
  • Training and professional development
  • Onsite childcare facilities
  • Discounted health insurance (Medibank)
  • Onsite vacation care
  • Employee Assistance Program
  • Subsidised membership at the Sport & Aquatic Centre
  • Onsite GP, imaging & physio clinics
A Place Where You Belong

At Macquarie, we believe diversity makes us stronger, inclusion drives our success, and belonging inspires us to do our best work.

We are proud to foster a community where different backgrounds, identities, and experiences are valued, and where our people are empowered to thrive through supportive leadership, shared responsibility, and a deep commitment to genuine care and respect for our community.

Find out more about our vision for a truly inclusive workplace in our Diversity, Inclusion and Belonging Framework.

Flexible Work At Macquarie, we believe by providing flexibility in when, where and how work is done, we can support our staff to manage their personal commitments, while optimising their work performance and contributions to the University.

See how we lead in flexible work to enable an outcome focused and inclusive workplace.

To learn more about our culture and hiring process, visit our Jobs at Macquarie page.

At Macquarie University, our human equation for success is You to the Power of Us. It’s an invitation for you to bring your passion and purpose to a campus powered by human collaboration, and where the potential of every person multiplies our ability to achieve remarkable things.

Hear from our Vice Chancellor Bruce Dowton.

Our values — Collective Ambition, Purposeful Collaboration, Bold Innovation, and Genuine Care — are at the heart of everything we do and by living our values, we unlock the true potential of You to the Power of Us.

Our values guide how we work, lead and support one another.

We know Macquarie is at its best when we live our values every day.

Fostering Belonging Our Diversity, Inclusion and Belonging Framework 2024-2028 and our Flexible Work approach support Macquarie’s vision by building a community where everyone truly feels safe and like they belong.

We acknowledge the richness of each individual’s identity and the potential that brings.

This diversity amplifies You to the Power of Us and creates an inclusive environment that leads to better outcomes for all.

Through a nurturing and fair environment, we are a workplace that enables you to balance both your personal needs and professional goals.

What we offer?

When you join Macquarie University, you gain access to a supportive, flexible workplace designed to help you thrive.

  • Flexible, hybrid work arrangements
  • 17% Superannuation
  • Subsidised onsite parking options
  • Extensive training and professional development programs
  • Onsite childcare facilities to support working parents
  • Onsite vacation care during school holidays
  • Discounted health insurance
  • Subsidised membership at our Sport & Aquatic Centre
  • Access to an Employee Assistance Program for free and confidential support
  • Convenient onsite GP, imaging, and physiotherapy clinics

These benefits are designed to support your health, wellbeing, and growth, so you can focus on what matters most: making a difference.

Discover our beautiful campus Just 15km from Sydney’s CBD and with access to Australia’s only dedicated university metro station, our Wallumattagal Campus in Macquarie Park offers a vibrant and inspiring place to work - right in one of the world’s greatest cities.

Take a look at our campus Join a workplace that's inclusive, outcome-focused and driven by shared purpose.

For further information about how the University, collects, uses and discloses personal information about you, refer to the privacy policy.

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