Lecturer / Senior Lecturer in Learning Systems

This role is based in Australia.

About the role

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.

Responsibilities

• Deliver high-quality teaching in undergraduate and postgraduate Electrical Engineering programs, focusing on artificial intelligence and machine learning.
• Undertake research in machine learning, artificial intelligence, electronic systems, complex adaptive systems, and related emerging technologies.
• Contribute to high-impact research outcomes and strengthen the School’s capability in learning systems.
• Collaborate across disciplines such as mathematics, electronic systems, and complex adaptive systems.
• Engage in research collaboration and industry partnerships.
• Support the development of the next generation of engineers and researchers.
• At Senior Lecturer level, demonstrate research leadership, a nationally recognised research track record, success in attracting competitive funding, and experience mentoring colleagues and supervising higher degree research students.

Requirements

Level B (Lecturer):

• A PhD in Electrical/Electronics Engineering or a related discipline, along with relevant work experience.
• Proven commitment to proactively keeping up to date with discipline knowledge and developments.
• Demonstrated experience and evidence in teaching and learning design, development, and/or delivery at undergraduate and/or postgraduate levels in the fundamentals, practice, and future directions of artificial intelligence and machine learning.
• 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).
• Demonstrated knowledge of industry or experience of 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.
• A track record of significant involvement with the profession and/or industry.
• 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, particularly in areas related to the future of machine learning such as mathematics, electronic systems, and complex adaptive systems, and build effective relationships.
• Evidence of highly developed interpersonal and organisational skills.
• An understanding of and commitment to UNSW’s aims, objectives, and values in action, together with relevant policies and guidelines.
• Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.

Level C (Senior Lecturer):

• A PhD in Electrical/Electronics Engineering or a related discipline, along with relevant work experience.
• Proven commitment to proactively keeping up to date with discipline knowledge and developments.
• Demonstrated experience and evidence in teaching and learning design using a range of pedagogical approaches, development, and delivery of courses and programs at undergraduate and/or postgraduate levels in the fundamentals, practice, and future directions of artificial intelligence and machine learning.
• 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.
• Demonstrated 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, particularly in areas related to the future of machine learning such as mathematics, electronic systems, and complex adaptive systems, 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.
• An understanding of and commitment to UNSW’s aims, objectives, and values in action, together with relevant policies and guidelines.
• Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.

Pay

• Lecturer (Level B): AUD $133,065 to $156,864 per annum + 17% superannuation.
• Senior Lecturer (Level C): AUD $161,619 to $185,422 per annum + 17% superannuation.

Schedule

• 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).

Benefits

• UNSW provides workplace adjustments for people with disability and access to flexible work options, including working from home, for eligible staff.
• 26 weeks of fully paid maternity or primary carers leave upon commencement of employment (subject to eligibility).
• Supportive and collegial work environment with dedicated frameworks to assist research, teaching, and career development.

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.

Learn more about the School of Electrical Engineering and Telecommunications.