This Job is based in Australia
Lecturer / Senior Lecturer in Learning Systems
Apply now Job no: 541600
Work type: Full Time
Location: Sydney, NSW
Categories: Senior Lecturer, Lecturer
The Opportunity
Join the School of Electrical Engineering and Telecommunications in the Faculty of Engineering at UNSW as a Lecturer or Senior Lecturer in a Teaching and Research role. You will contribute to research and education in fundamentals, practice, and future directions of artificial intelligence and machine learning, with a particular focus on developing new learning paradigms, models, and disruptive architectures for electronic learning systems. Alongside delivering high-quality teaching across undergraduate and postgraduate Electrical Engineering programs, you will undertake research in areas including machine learning, artificial intelligence, electronic systems, complex adaptive systems, and related emerging technologies. Through this work, you will contribute to high-impact research outcomes and strengthen the School’s capability in learning systems.
With established strengths across electrical engineering, telecommunications, signal processing, communications, energy systems, robotics, and emerging technologies, UNSW offers an exceptional environment for academics seeking to advance their research profile, contribute to interdisciplinary initiatives, and deliver outstanding teaching. Working across disciplines such as mathematics, electronic systems, and complex adaptive systems, you will help shape future directions in machine learning and artificial intelligence while contributing to research collaboration, industry engagement, and the development of the next generation of engineers and researchers.
Position Details
- Salary: Lecturer (Level B) – AUD $133,065 to $156,864 per annum + 17% superannuation
- Salary: Senior Lecturer (Level C) – AUD $161,619 to $185,422 per annum + 17% superannuation
- Employment type: Full-time
- Appointment type: Fixed term, 2-year convertible tenure track (Fixed-term appointment with the potential to convert to continuing employment, subject to a successful review.)
- Location: Kensington – Sydney, Australia
- Reporting line: This role reports to the Head of School and has no direct reports.
About You
You are an academic with expertise in artificial intelligence, machine learning, learning systems, or a closely related area, with the ability to contribute to high-quality research and teaching. You are committed to advancing your research profile while delivering engaging learning experiences in the fundamentals, practice, and future directions of artificial intelligence and machine learning for undergraduate and postgraduate students.
Success in this role requires a collaborative and adaptable approach, with the ability to work across disciplines, build relationships with industry and professional networks, and contribute to the continued development of the School’s research capability in learning systems. At Senior Lecturer level, you will also bring evidence of research leadership, a nationally recognised research track record, success in attracting competitive funding, and experience mentoring colleagues and supervising higher degree research students to completion.
About UNSW
UNSW is a world‑leading institution recognised for its scale, prestige, and impact. With strong industry engagement and partnerships across sectors, UNSW provides a unique environment where academic expertise translates into real‑world outcomes. The university is home to cutting‑edge research that drives innovation and societal progress, while its excellence in teaching ensures students are prepared to lead in their fields. For academics, UNSW offers an outstanding platform to flourish — combining world‑class facilities, collaborative networks, and a culture of innovation that supports both career growth and meaningful contributions to the wider community.
The UNSW School of Electrical Engineering and Telecommunications is one of Australia's largest and most prestigious schools of its kind. Home to more than 1,500 students and over 40 academic staff, the School is internationally recognised for excellence in teaching, research, and industry engagement across electrical engineering, telecommunications, robotics, communications, and emerging technologies. For further information about our
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