PhD Scholarships: Temporal Graph Mining for Anomaly Detection
Griffith University Parklands Dr, Southport QLD, Australia- Opening Date: Not Available
- Closing Date: 11-Oct-2024
- Parklands Dr, Southport QLD, Australia
- $33,480 (indexed) annual stipend for a period of up to three years of full-time study. International applicants will also receive a scholarship to cover tuition fees for up to three years.
- Design novel temporal graph mining techniques to compress large-scale networks.
- Unify heterogeneous information for anomaly detection.
- Explore anomalies in complex interconnections of large-scale, heterogeneous, and dynamic data.
- Serve governments and businesses in applications like cyberbullying detection, malicious account detection, and cyber-attack detection.
- Collaborate with senior multi-university teams and other doctoral students.
- Strong empirical skills and interests in dynamic graph data analytics and graph learning model design.
- Evidence of a passion for understanding and detecting complex anomalies for AI system development.
- Strong desire to undertake research in large-scale, heterogeneous, and temporal graph data learning.
- Completed or expected completion of a bachelor's degree with honours equivalent to first class honours or a Masters degree (AQF Level 9) with significant research component.
- Existing research training or experience in the analysis of graph data, deep learning, model development, and adaptation.
- International applicants must meet English Language Proficiency requirements.
- Annual stipend of $33,480 (indexed) for up to three years.
- International applicants receive a scholarship to cover tuition fees for up to three years.
- Opportunity to study at a university ranked among the top 2% worldwide.
- Support for professional and personal development of HDR candidates.
- Expressions of interest are welcome from domestic and international applicants.
- Applicants must contact s.pan@griffith.edu.au before applying.
- Selection interview required for eligible applicants.
PhD Scholarships: Temporal Graph Mining for Anomaly Detection
Location: Parklands Dr, Southport QLD, Australia
Employment Type: Full Time
Department ID: DVC Research - SDV
Appointment Type: Fixed Term
Job Description
We are currently looking for a PhD candidate to join an Australian Research Council-funded team, developing new technologies to detect anomalous patterns from dynamic networked data.
The primary focus of this role is to design novel temporal graph mining techniques to compress large-scale networks, unify heterogeneous information, and enable label-efficient anomaly detection. This project includes exploring anomalies in complex interconnections of large-scale, heterogeneous, and dynamic data and serving governments and businesses in many critical applications, including cyberbullying detection, malicious account detection, and cyber-attack detection.
Success in this role requires collaboration with senior multi-university teams and other doctoral students.
The research would be led by Professor Shirui Pan from Griffith University, involving multiple researchers, spanning studies on “Graph & Network Analytics, Time Series/Streaming Data Analytics, Trustworthy AI, and Large Language Models”, and various AI application scenarios.
The successful candidate will be based at the Gold Coast campus.
Qualifications
The selection of applicants for the award of higher degree research scholarships at Griffith University involves consideration of your academic merit and research background. To be successful within this role, you will be able to have strong empirical skills and interests in dynamic graph data analytics and graph learning model design. You will have evidence of a passion for understanding and detecting complex anomalies for AI system development, with a strong desire to undertake research in large-scale, heterogeneous, and temporal graph data learning.
Expressions of interest are welcome from domestic and international applicants.
Applicants must have completed, or expect to complete, a bachelors degree with honours equivalent to first class honours or a Masters degree (AQF Level 9) incorporating a significant research component of a standard comparable to a bachelor honours degree or be regarded by Griffith University as having an equivalent level of attainment in accordance with Schedule One of the HDR Scholarship Procedure. For further information on the eligibility requirements for the program refer here.
Please note:
- Applicants are welcome from any relevant data science discipline, provided they have existing research training or experience in the analysis of graph data, deep learning, model development, and adaption, and a desire to undertake a Ph.D. that comprehensively understands the large-scale, heterogeneous, and dynamic graph data for effective anomaly detection model design.
- International applicants should ensure that English Language Proficiency requirements for the program are met before formally applying. Applicants to research programs will need to show they meet:
- A minimum overall band score of 6.5 on the IELTS (Academic) with no band score less than 6.0 OR
- A minimum score of 575 on the paper-based TOEFL including a score of no less than 5.0 on the TWE OR
- A score of 79 on the internet-based (iBT) TOEFL with no sub-score less than 19
Additional Information
About the scholarship
The 2024 Griffith University Postgraduate Research Scholarship has an annual stipend of $33,480 (indexed) for a period of up to three years of full-time study. Please see the GUPRS Conditions of Award for more information.
A successful International applicant will also be awarded a Griffith University International Postgraduate Research Scholarship to cover tuition fees for up to three years. Please see the GUIPRS Conditions of Award for more information.
EoI process
Please do not select the “APPLY” button. Interested applicants should first contact s.pan@griffith.edu.au.
Applicants who meet eligibility criteria will be required to undertake a selection interview before being considered for the scholarship.
The closing date for expressions of interest is: 5pm Friday 11 October 2024
The preferred applicant will then be invited to apply for the program and scholarship on-line.
What Griffith offers
As a scholarship holder, you will study with a University that ranks among the top 2% worldwide and spans across campuses in South East Queensland. At Griffith University, we’ve worked hard to create a culture that will challenge you to be curious, creative and courageous. We also support the professional and personal development of all our HDR candidates and invest in the skills of our people. Griffith University values diversity, inclusion and flexibility and we encourage Aboriginal and Torres Strait Islander, and people of all backgrounds to apply. Griffith's strategic goals are to also increase the proportion of women in senior academic and administrative roles and in Science, Technology, Engineering, Mathematics and Medicine (STEMM).
Further information
For project related enquiries please contact:
Professor Shirui Pan
Phone: (07) 567 80653
Email: s.pan@griffith.edu.au
For administration enquiries please contact:
Griffith Graduate Research School
Email: hdr-scholarship@griffith.edu.au
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