Professor, Neuro-symbolic and Trustworthy AI

Job Details

• 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.

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.

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