Swinburne University of Technology 2022 PhD Scholarship, Information Architecture and Forensic Data Analysis

How can we improve information architectures to support more effective data discovery and the responsible sharing of data? What methodologies can best support the effective exchange of information inherent in enterprise information architecture? This PhD research project will investigate how organisations can leverage human & AI/ML approaches to improve the forensic discovery and analysis of organisational data across multiple and complex information architectures.

In the CIRES program, you will work collaboratively with university and industry partner supervisors who are leading research with real world impact. Your research will build on strong foundations of responsible data management, focusing on curating data at scale and building trusted data relationships. Over the period of your degree, you will also undertake a one-year (equivalent) placement with the industry partner, Astral Consulting Services Pty Ltd, and will collaborate and participate in industry-led projects.

This PhD scholarship is based at Swinburne University of Technology, Melbourne. It may also involve some travel to meet with CIRES partner at the University of Queensland, Brisbane.

• Table of Content
• About Swinburne University
• PhD Scholarship, Information Architecture and Forensic Data Analysis
• Aim and Benefits of PhD Scholarship, Information Architecture and Forensic Data Analysis
• Requirements for PhD Scholarship, Information Architecture and Forensic Data Analysis Qualification
• Interview date, Process and Venue for PhD Scholarship, Information Architecture and Forensic Data Analysis
• Application Deadline
• How to Apply

About Swinburne University

PhD Scholarship, Information Architecture and Forensic Data Analysis

Aim and Benefits of PhD Scholarship, Information Architecture and Forensic Data Analysis

• Become a leader in the field of emerging digital technologies
• Placement with a leading industry partner
• $34,627 p.a. for up to 3.5 years (full-time, fixed term)

Requirements for PhD Scholarship, Information Architecture and Forensic Data Analysis Qualification

It is advantageous, but not essential, that applicants have:
• a background in Information Systems, or Enterprise Information Management with a computing science or similar technology background
• a strong interest in technology and the business value of advanced data analytics, AI and machine learning
• previous experience in business analysis, enterprise architecture and/or working with metadata, taxonomies and Information Architecture

Interview date, Process and Venue for PhD Scholarship, Information Architecture and Forensic Data Analysis

Meet the entry requirements for Higher Degrees by Research at Swinburne University of Technology
• Demonstrated strong social and adaptive communication skills to interact with a range of people from community, industry and the university sector
• Excellent project management and attention to detail
• Ability to work both independently and as part of a team in a collaborative manner
• Enthusiasm for learning new research and data analysis skills and systems
• Ability to contribute to peer-reviewed academic publications
• Australian citizen or permanent resident, or ability to self-obtain an Australian visa.
• Must be in a position to enrol and commence the PhD candidature by end of February 2022.

Application Deadline

How to Apply

To view the position description or to start an application, click on 'apply' or ‘begin’ and submit a resume, cover letter and responses to the Key Selection Criteria as listed in the position description.

For more details, visit Swinburne University of Technology website.