Research Associate in Deep Variational and Decentralized Learning
Join a leading AI research team to develop foundational theories in decentralized and deep variational machine learning.
Best for:Best for experienced researchers with a PhD or Master’s by Research in AI, machine learning, or related fields, seeking to advance foundational theories in decentralized and deep learning.
Overview
This position at Macquarie University’s AI Lab and Frontier AI Research Centre offers an opportunity to contribute to cutting-edge research in deep variational and decentralized learning. The role focuses on advancing theoretical frameworks for next-generation AI models that move beyond centralized data paradigms. Under the supervision of Professor Longbing Cao, the successful candidate will engage in high-impact research, publish in top-tier venues, and collaborate with a globally diverse team. The appointment is full-time, fixed-term, and based at the Wallumattagal Campus in North Ryde, Sydney. Ideal candidates are experienced researchers with a strong background in AI, machine learning, and related fields, including expertise in applied statistics, information theory, and data analytics.
What you'll do
- Develop theoretical models and frameworks for deep variational and decentralized machine learning.
- Conduct modeling, analytical, and visualization tasks to support research findings.
- Publish research results in high-impact academic conferences and journals.
- Collaborate with a multidisciplinary team on major research projects and grants.
- Engage in industry partnerships and international collaborations to advance AI research.
- Assist in coordinating research activities and supporting academic staff in project execution.
Requirements
Degree required: PhD or Master’s by Research in AI, machine learning, data science, or a related field.
Language: English; proficiency required for academic communication and collaboration.
Instruction: English
Publications: Strong track record of publishing as a main contributor in top-tier academic venues.
- Proven expertise in applied statistics, machine/deep learning, and information theory.
- Strong track record of publishing in top-tier academic venues as a main contributor.
- Experience coordinating research teams and collaborating with stakeholders.
- Proficiency in advanced analytics, optimization methods, and data visualization.
- Ability to work within project confidentiality, security, and contracting requirements.
- Must have valid Australian work rights for the duration of the appointment.
- No explicit age or nationality restrictions, but work rights are mandatory.
Funding & terms
How to apply
Deadline: 2026-10-14 (Australia/Sydney)
Applicants must submit a CV and a cover letter outlining how their experience meets the selection criteria via the university’s online application portal.
- CV
- Cover letter detailing how experience meets selection criteria
Contact
Longbing Cao· Professor
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