Lecturer / Senior Lecturer in Learning Systems

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.

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

• Full-time
• 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

About the role

• Reports to the Head of School and has no direct reports
• Contribute to high-quality research and teaching in artificial intelligence, machine learning, and learning systems
• Deliver engaging learning experiences for undergraduate and postgraduate students
• Work collaboratively across disciplines and build relationships with industry and professional networks

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.

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.

Requirements

Level B

• 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, related to the future of machine learning such as mathematics, electronic systems, complex adaptive systems, etc.; 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

• 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 level 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, related to the future of machine learning such as mathematics, electronic systems, complex adaptive systems, etc.; 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

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 framework to assist research, teaching, and career development