Overview:

• 1 x Full time, ongoing opportunity now exists to join RMIT’s School of Computing Technologies - Discipline of Data Science and Artificial Intelligence
• Remuneration at Academic Level E + 17% Super

About You
We’re seeking a distinguished and impact-minded academic leader to join our team as a Professor in Data Science and AI. In this senior role, you’ll be a key driver of research excellence, innovative teaching, and strategic leadership within the School of Computing Technologies.

In this role, you will lead high-impact research projects, foster interdisciplinary collaborations, and build strong national and global partnerships across academia, government, and industry. Furthermore, this role will see you:

• Contribute to teaching and curriculum development within the Data Science and AI discipline, support the strategic direction of the School, and mentor staff to drive academic excellence
• Have expertise that complements our existing strengths—such as Responsible AI, Intelligent Decision Making, and Multi-modal Machine Learning—including areas like Neuro-symbolic AI, Knowledge Graphs, Contextual AI, Conversational AI, and Trustworthy & Safe AI.

This role also offers the opportunity to explore human-AI teaming and ethical AI adoption in collaboration with colleagues across STEM, Design and Social Context, and Business and Law.
About the School
The School of Computing Technologies is a centre for digital innovation, world class research, and education in STEM via streamlined collaboration across relevant disciplines. The School is led by the Dean, School of Computing Technologies, and has three disciplines: Data Science, Artificial Intelligence and Cloud Systems and Security.
Our PhD students and faculty conduct world leading research in many areas of Computing, including in: Artificial Intelligence, Search and Recommendation, Data Science, Machine Learning, and Big Data Analysis, Distributed Computing and Cybersecurity Human-Computer Interaction.
SCT will fast-track digital innovation across all College teaching programs and elevate our external position as a leader in technology and digital innovation. The School’s leadership is tasked with the significant responsibility of building the architecture and capability to position RMIT with a supercomputer capacity and a world class digital learning lab which will support interdisciplinary activities, including integration of augmented reality and other advanced technologies into teaching. The strong focus on technology led by the School of Computing Technologies will drive the development of new capability platforms and enable the ability for RMIT to be embedded within industry and leading local and international research organisations.

To be successful in the role, you will have:

• Demonstrate distinction at the national level and an internationally recognised research track record in the target areas of neuro-symbolic and trustworthy AI.
• Proven ability to sustain and grow Research Groups and Centres through the attraction of external funding.
• Extensive experience in attracting and supervising higher degree by research candidates to maximise research performance.
• Demonstrated ability to lead improvement of academic standards, including implementing best practice teaching strategies and dissemination of innovative practices.
• Demonstrated ability to manage award program/s and lead program reviews.
• Evidence of demonstrated strategic leadership in a large organisational unit or University-wide initiative and effective membership of a management team that developed and achieved shared goals and objectives.
• Demonstrated experience in financial, governance and quality management systems within a University.
• Demonstrated high level of interpersonal, communication and negotiating skills including the ability to consult with senior executives, external bodies, produce executive reports, negotiate agreed directions, outcomes and targets within a collaborative environment.

Qualifications

Mandatory:

• PhD in a relevant
• Appointment to this position is subject to passing a Working with Children Check and National Police Check

To Apply
Please submit your CV, cover letter and separately address the Key Selection Criteria for this position by clicking on the ‘Apply’ link below.
For further information about this position, please see Position Description below or contact Professor Jeffrey Chan, Associate Dean – Data Science and AI at
Jeffrey.chan@rmit.edu.au
Position Description - Professor, Neurosymbolic and Trustworthy AI
Applications Close:
29 June 2025 11.59 pm
RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community.
At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT (including alternate formats of application forms). To discuss adjustment requirements, please contact Dani, via
talentsupport@rmit.edu.au or visit our Careers page for more contact information -
https://www.rmit.edu.au/careers
.
We are a Circle Back Initiative Employer – we commit to respond to every applicant

In this role, you will lead high-impact research projects, foster interdisciplinary collaborations, and build strong national and global partnerships across academia, government, and industry. Furthermore, this role will see you:

• Contribute to teaching and curriculum development within the Data Science and AI discipline, support the strategic direction of the School, and mentor staff to drive academic excellence
• Have expertise that complements our existing strengths—such as Responsible AI, Intelligent Decision Making, and Multi-modal Machine Learning—including areas like Neuro-symbolic AI, Knowledge Graphs, Contextual AI, Conversational AI, and Trustworthy & Safe AI

To be successful in the role, you will have:

• Demonstrate distinction at the national level and an internationally recognised research track record in the target areas of neuro-symbolic and trustworthy AI.
• Proven ability to sustain and grow Research Groups and Centres through the attraction of external funding.
• Extensive experience in attracting and supervising higher degree by research candidates to maximise research performance.
• Demonstrated ability to lead improvement of academic standards, including implementing best practice teaching strategies and dissemination of innovative practices.
• Demonstrated ability to manage award program/s and lead program reviews.
• Evidence of demonstrated strategic leadership in a large organisational unit or University-wide initiative and effective membership of a management team that developed and achieved shared goals and objectives.
• Demonstrated experience in financial, governance and quality management systems within a University.
• Demonstrated high level of interpersonal, communication and negotiating skills including the ability to consult with senior executives, external bodies, produce executive reports, negotiate agreed directions, outcomes and targets within a collaborative environment