Griffith UniversityParklands Dr, Southport QLD, Australia
Closing date:
11-Oct-2024
Dates
Opening Date: Not Available
Closing Date: 11-Oct-2024
Location
Parklands Dr, Southport QLD, Australia
Salary
$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.
Responsibilities
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.
Requirements
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.
Benefits
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.
Notes
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.
The University of MelbourneParkville, Victoria, Australia
Closing date:
17-Sep-2024
Expired
Dates
Opening Date: 03-Sep-2024
Closing Date: 17-Sep-2024
Location
Parkville, Victoria, Australia
Salary
UOM 7 – $106,432– $115,211 p.a. plus 17% super
Responsibilities
Support the delivery of sustainable outcomes that support the University’s commitment to continuous improvement.
Support a work environment that fosters high achievement and collaboration.
Work using a blended toolkit incorporating both Design (Service Design, UX design) and Service Improvement (including Lean, SixSigma and Business Process Mining) as appropriate to achieve the optimal outcome.
Engage with stakeholders across the University to advocate for the value of Service Improvement methods, tools and mindset to address complex problems and opportunities.
Requirements
Qualifications in Lean, SixSigma, Lean Six Sigma, BPM or an equivalent combination of relevant experience and education/training.
Tertiary qualifications in Business, Engineering, Systems Thinking or related fields.
Practical experience and broad knowledge of the practice of Service, Process and Business improvement.
Strong problem-solving skills and exceptional interpersonal communication abilities.
Benefits
Generous leave provisions
Salary packaging
Health and well-being services
Discounts on graduate courses
Notes
This role requires the successful candidate to undergo and maintain an up-to-date Working with Children Check.
Visa sponsorship is not available for this position.
The University of MelbourneParkville, Victoria, Australia
Closing date:
17-Sep-2024
Expired
Dates
Opening Date: 03-Sep-2024
Closing Date: 17-Sep-2024
Location
Parkville, Victoria, Australia
Salary
UOM 7 – $106,432– $115,211 p.a. plus 17% super
Responsibilities
Support the delivery of sustainable outcomes that support the University’s commitment to continuous improvement.
Support a work environment that fosters high achievement and collaboration.
Work using a blended toolkit incorporating both Design (Service Design, UX design) and Service Improvement (including Lean, SixSigma and Business Process Mining) as appropriate to achieve the optimal outcome.
Engage with stakeholders across the University to advocate for the value of Service Improvement methods, tools and mindset to address complex problems and opportunities.
Requirements
Qualifications in Lean, SixSigma, Lean Six Sigma, BPM or an equivalent combination of relevant experience and education/training.
Tertiary qualifications in Business, Engineering, Systems Thinking or related fields.
Practical experience and broad knowledge of the practice of Service, Process and Business improvement.
Strong problem-solving skills and exceptional interpersonal communication abilities.
Benefits
Generous leave provisions
Salary packaging
Health and well-being services
Discounts on graduate courses
Notes
This role requires the successful candidate to undergo and maintain an up-to-date Working with Children Check.
Visa sponsorship is not available for this position.
