Lecturer / Senior Lecturer in Transport Engineering

About the role

The successful candidate will contribute to high-quality research and education in transport engineering while shaping the future of sustainable, intelligent, and connected transport systems.

Responsibilities

• Conduct research in areas including network modeling, Intelligent Transport Systems (ITS), Connected and Automated Vehicles (CAVs), their supporting infrastructure and systems, and AI-based traffic control, monitoring, and maintenance systems.
• Deliver high-impact outcomes and strengthen the School’s growing reputation in transport engineering and mobility innovation.
• Engage with industry and government partners, contribute to work-integrated learning initiatives, and address emerging challenges in transport engineering and mobility systems.

Requirements

• A PhD and/or relevant work experience with network modeling, Intelligent Transport and Systems (ITS), Connected and Automated Vehicles (CAVs), transport infrastructure, or AI-enabled traffic systems.
• Proven commitment to proactively keeping up to date with discipline knowledge and developments.
• Demonstrated experience in teaching and learning design, development, and delivery at undergraduate and/or postgraduate level.
• Experience using and/or designing with educational technologies and online delivery methods.
• Evidence of teaching effectiveness and passion for educational excellence (e.g., relevant discipline-based curriculum design and development at a variety of levels and scales).
• Experience with industry or work-integrated learning (desirable).
• Evidence of ability to support and inspire students from diverse backgrounds and support student equity, diversity, and inclusion initiatives.
• Demonstrated track record in research with outcomes of high quality and high impact with clear evidence of the desire and ability to continually achieve research excellence as well as the capacity for research leadership.
• High level communication skills and ability to network effectively and interact with a diverse range of students and staff.
• Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
• Evidence of highly developed interpersonal and organisational skills.

Qualifications

• A PhD and/or relevant work experience with network modeling, Intelligent Transport and Systems (ITS), Connected and Automated Vehicles (CAVs), transport infrastructure, or AI-enabled traffic systems.
• Proven commitment to proactively keeping up to date with discipline knowledge and developments.
• Demonstrated experience in teaching and learning design using a range of pedagogical approaches, development, and delivery of courses and programs, at undergraduate and/or postgraduate level.
• Experience of implementing educational technologies and online delivery methods.
• Evidence of teaching effectiveness and passion for educational excellence and fostering this in others.
• Demonstrated success in initiating curriculum development and improvement.
• Experience with industry or work-integrated learning.
• Evidence of ability to support and inspire students from diverse backgrounds and support student equity, diversity, and inclusion initiatives.
• Demonstrated track record in research with outcomes of high quality and high impact with clear evidence of the desire and ability to continually achieve research excellence as well as the capacity for research leadership.
• Experience in successfully recruiting and supervising high calibre students.
• Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
• Evidence of highly developed interpersonal and organisational skills.
• Demonstrated ability to interact with the profession and industry and attract funding for learning and teaching initiatives.

Skills

• A PhD and/or relevant work experience with network modeling, Intelligent Transport and Systems (ITS), Connected and Automated Vehicles (CAVs), transport infrastructure, or AI-enabled traffic systems.
• Proven commitment to proactively keeping up to date with discipline knowledge and developments.
• Demonstrated experience in teaching and learning design, development, and delivery at undergraduate and/or postgraduate level.
• Experience using and/or designing with educational technologies and online delivery methods.
• Evidence of teaching effectiveness and passion for educational excellence (e.g., relevant discipline-based curriculum design and development at a variety of levels and scales).
• Experience with industry or work-integrated learning (desirable).
• Evidence of ability to support and inspire students from diverse backgrounds and support student equity, diversity, and inclusion initiatives.
• Demonstrated track record in research with outcomes of high quality and high impact with clear evidence of the desire and ability to continually achieve research excellence as well as the capacity for research leadership.
• High level communication skills and ability to network effectively and interact with a diverse range of students and staff.
• Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
• Evidence of highly developed interpersonal and organizational skills.
• Demonstrated ability to interact with the profession and industry and attract funding for learning and teaching initiatives.

Benefits

The successful candidate will be offered a competitive salary commensurate with experience, along with a generous superannuation package.

Pay

• Lecturer (Level B): AUD $127,947 to $150,830 per annum + 17% superannuation
• Senior Lecturer (Level C): AUD $155,403 to $178,290 per annum + 17% superannuation

Schedule

• Full-time