Tenure-Track Faculty Positions in AI-Driven Engineering
Join the University of Sydney’s Faculty of Engineering to advance AI research, teaching, and innovation across engineering disciplines.
Best for:Best for established researchers with a PhD in engineering or a related field, a proven track record in AI-driven research, and a passion for interdisciplinary collaboration and teaching innovation.
Overview
The University of Sydney is seeking outstanding academics at Lecturer, Senior Lecturer, and Associate Professor levels to lead AI-focused research and teaching within its Faculty of Engineering. These tenure-track positions aim to integrate AI into diverse engineering fields, including aerospace, biomedical, chemical, civil, computer, electrical, and mechanical engineering. Successful candidates will develop independent research programs, collaborate with industry and university partners, and contribute to cutting-edge education. The roles emphasize leveraging AI for research, understanding AI systems, and building next-generation AI technologies. Applicants must demonstrate a strong research track record, teaching excellence, and a vision for AI’s transformative impact on their discipline.
What you'll do
- Develop and lead an independent research program focused on AI-driven advancements in engineering disciplines, including leveraging AI for research, understanding AI systems, or building AI technologies.
- Collaborate with industry partners, university researchers, and interdisciplinary teams to advance AI applications in engineering fields.
- Contribute to curriculum development and delivery at both undergraduate and postgraduate levels, integrating AI into teaching methodologies.
- Engage in high-quality teaching using innovative pedagogies, including designing and delivering units of study that incorporate AI advancements.
- Contribute to leadership roles within the School/Faculty, fostering a supportive and collaborative academic environment.
- Publish research findings in top-tier engineering and AI journals and conferences, ensuring high academic impact.
- Mentor students and junior researchers, fostering a culture of academic excellence and innovation.
Requirements
Degree required: PhD in a relevant engineering discipline or related field. Applicants who have submitted their PhD for examination or will do so in the immediate future may also be considered.
Language: English; proficiency sufficient for academic research, teaching, and collaboration (no specific test score mentioned).
Instruction: English
Publications: Strong track record in research appropriate to the discipline and level of appointment, with consideration for career disruptions.
- Proven track record of research excellence in AI-driven engineering or related fields.
- Strong teaching experience and ability to deliver innovative, student-centered education.
- Excellent communication skills and collegiality in academic and interdisciplinary settings.
- High-level problem-solving skills to address complex challenges in engineering and AI.
- Experience in developing and managing research projects, including securing external funding.
- Ability to collaborate effectively with industry partners and cross-disciplinary teams.
- Open to all qualified candidates; no specific nationality or residency restrictions mentioned.
- Applicants must have a PhD in a relevant field or be in the process of submitting their PhD for examination.
Funding & terms
How to apply
Deadline: 2026-11-30 (Australia/Sydney)
Submit a CV, a research statement (up to 2 pages), and a teaching statement (up to 2 pages). Include a statement outlining any career disruptions or relevant opportunity information. Provide the names and email addresses of three referees. Current employees should apply via the Workday portal.
- CV
- Research statement (up to 2 pages)
- Teaching statement (up to 2 pages)
- Statement outlining career disruptions or opportunity information (optional)
- Names and email addresses of three referees
Contact
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