Join RAIDS Lab.

Opportunities for students, researchers, and visiting scholars interested in responsible data systems and real-world AI applications.

Aim high. Think deep.

Fear none. Press on.

01Applications

We welcome applications for

We aim to explore research problems with long-term value, systems and methods that stand the test of time, and technologies that create meaningful real-world impact.

·PhD students
·MPhil students
·Honours and thesis students, including Research Pathway students
·Visiting scholars / visiting students
·Research project students, research interns, and research assistants
02Research Areas
R / 01

Scalable Data Systems

Research on scalable data platforms, query processing, distributed execution, graph analytics, and data infrastructure for modern AI workloads.

Example topics

Database SystemsGraph AnalyticsQuery Processing & OptimizationDistributed / Parallel SystemsGPU & High-Performance Data ProcessingAI Systems & LLM Infrastructure
R / 02

Responsible Data Intelligence

Research on reliable, accountable, and human-centred data intelligence, including AI-assisted data management and trustworthy generative AI systems.

Example topics

Responsible AITrustworthy & Explainable AIAI-assisted Data ManagementHuman-centred AI SystemsReliable Generative AIData Quality & Data Governance
R / 03

Data for Real-World Applications

Research on data-driven systems for social good, real-world applications, and industry transformation across critical sectors.

Example topics

Social GoodReal-World ApplicationsIndustry TransformationAI for ScienceESG & Sustainability AnalyticsIntelligent Finance & FinTech
03Requirements

Technical and Research Background

We particularly encourage applicants with backgrounds in:

  • ·Computer Science
  • ·Data Science
  • ·Artificial Intelligence / Machine Learning
  • ·Database Systems
  • ·Distributed Systems
  • ·Mathematics / Statistics
  • ·Engineering / Scientific Computing

Applicants are generally expected to demonstrate:

  • ·a solid foundation in computer science and strong programming skills
  • ·strong analytical, critical thinking, and problem-solving abilities
  • ·high levels of motivation, initiative, and self-driven learning
  • ·a genuine interest in research, systems, or real-world problem solving

PhD applicants are typically expected to have:

  • ·First Class Honours from a recognised university, or equivalent evidence of strong academic performance
  • ·demonstrated potential for research and the ability to pursue long-term research problems
  • ·prior research experience, such as thesis work, publications, internships, or research projects

Scholarships at the University of Sydney are highly competitive. Strong research experience, publications, project experience, and academic writing skills are usually required.

Interdisciplinary Applicants

We also welcome applicants from interdisciplinary backgrounds who are interested in AI and intelligent systems. We believe that diverse perspectives and interdisciplinary collaboration are essential to building responsible and impactful intelligent systems.

Relevant backgrounds include

  • ·Social Sciences / Education / Law
  • ·Psychology / Cognitive Science
  • ·Natural Sciences (e.g. Physics, Chemistry, Materials Science, Biology)
  • ·Biomedical / Health Sciences
  • ·Business / Finance / Economics
  • ·Design / Architecture / Creative Technologies
  • ·Civil Engineering & Built Environment
  • ·Sustainability & ESG
04Research Projects / Research Interns

We welcome outstanding undergraduate, master's, and interdisciplinary students to participate in research projects and research internships.

The lab is best suited for students who can participate consistently over an extended period. In general, internships are expected to last at least six months. Longer-term involvement, such as one year or more, is strongly preferred for deeper participation in research projects, system development, and publications.

Internships may be arranged flexibly. Outstanding interns may later participate in honours thesis work, research pathway projects, MPhil / PhD programs, joint publications, and long-term research collaborations.

Current undergraduate students or master's by coursework students at the University of Sydney are encouraged to contact us if they are interested in research degrees, such as a Master by Research or PhD, or research projects, such as honours thesis projects or Research Pathway projects.

Research project students and interns may be involved in

  • ·literature reviews and paper discussions
  • ·system implementation and evaluation
  • ·data preparation, processing, and analysis
  • ·prototype development and demos
  • ·AI and data systems research projects

We particularly welcome students who

  • ·want early exposure to research
  • ·have strong engineering or programming skills
  • ·are considering future PhD or MPhil study
  • ·are interested in AI, data systems, and real-world applications
05Research Philosophy

We value

  • ·long-term impact
  • ·depth and rigour in research
  • ·independent and systematic thinking
  • ·creativity and intellectual curiosity

We encourage

  • ·curiosity-driven exploration
  • ·open discussion and idea sharing
  • ·collaborative problem solving
  • ·interdisciplinary research and learning

We hope students will be able to

  • ·pursue meaningful research ideas with confidence
  • ·develop research judgement and critical thinking
  • ·grow into confident and independent researchers
“A teacher is one who makes oneself progressively unnecessary.”

Thomas Carruthers

06Lab Culture

We aim to build an open, respectful, and supportive research environment, a culture of collaboration and mutual support, and a space where diverse perspectives and honest discussion are encouraged.

Good research is not only about what we build, but also why we build it and whom it ultimately serves.

We aim to build

  • ·an open, respectful, and supportive research environment
  • ·a collaborative culture of sharing and mutual support
  • ·a space where diverse perspectives and honest discussions are encouraged

The lab values

  • ·Equity, Diversity & Inclusion (EDI)
  • ·wellbeing and sustainable growth
  • ·both academic and industry career pathways
07How to Apply

Materials to Include

Please send the following materials by email:

  • ·CV / Resume
  • ·Academic transcripts
  • ·Short statement of research interests
  • ·Publications, GitHub, portfolio, or project materials, if available

PhD and MPhil Applicants

PhD and MPhil applicants are also encouraged to briefly describe their:

  • ·previous research experience
  • ·research interests
  • ·research problems you hope to explore
  • ·whether you intend to apply for scholarships

Suggested Email Subject Lines

Suggested email subject lines:

  • ·PhD Application - Your Name
  • ·MPhil Application - Your Name
  • ·Honours Thesis Enquiry - Your Name
  • ·Research Project / Internship Enquiry - Your Name
Contact RAIDS Lab →

Please allow 1-2 weeks for a response after contacting us.

08University of Sydney Research Degrees

Please check the official University of Sydney pages for current research degree information, application procedures, and program requirements.

Useful links