Professor, Generative AI at RMIT University

Melbourne, Victoria, Australia -

Full Time

Start Date

Immediate

Expiry Date

15 Feb, 26

Salary

0.0

Posted On

17 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Machine Learning, Data Science, Responsible AI, Intelligent Decision Making, Multi-modal Machine Learning, Neuro-symbolic AI, Knowledge Graphs, Contextual AI, Conversational AI, Trustworthy & Safe AI, Human-AI Teaming, Ethical AI, Interdisciplinary Collaboration, Research Excellence, Curriculum Development

Industry

Education Management

Description

Overview: Lead world-class AI research and education at RMIT. Shape the future of Generative AI, Machine Learning, and Data Science through innovation, engagement, and real-world impact. 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 Generative 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: Demonstrated ability to manage award program/s and lead program reviews. Demonstrate distinction at the national level and an internationally recognised research track record, as evidenced through publications at top venues such as NeurIPS, ACL, AAAI, and ICML. Proven ability to sustain and grow Research Groups and Centres in core areas relevant to Generative AI technology 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. 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 relevant field. Appointment to this position is subject to passing a Working with Children 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. Please note whilst applications close on 15th of December, Monday, shortlisting and application updates will be concluded in January. Position Description - Professor, Generative AI Applications Close: 15 Dec 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. Culture Our Values inspire us, wherever we are in the world, and guide how we live and work together. Imagination. Integrity. Courage. Passion. Impact. Inclusion. What unites us is our purpose and our values; they are at the heart of who we are, what we stand for, how we make decisions and connect with each other. Our people make everything at the University possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. RMIT exists to create transformative experiences for our students, getting them ready for life and work. You will be a part of a productive and collaborative team, who values working relationships and outcomes through open and inclusive planning, continuous information sharing and transparent work practices. Find out what makes RMIT a great place to work

Responsibilities

Lead high-impact research projects and foster interdisciplinary collaborations. Contribute to teaching and curriculum development within the Data Science and AI discipline.