Associate Lecturer/Lecturer

Associate Lecturer/Lecturer - Artificial Intelligence, Machine Learning & Data Science

Company: Curtin University Location: Bentley Work Type: Full-time Salary: $104,917 (ALA.6) - $140,147 (ALB.6) + 17% superannuation Work Arrangement: Onsite

Curtin University is seeking an emerging academic with a passion for Artificial Intelligence, Machine Learning, and Data Science to join the School of Electrical Engineering, Computing and Mathematical Sciences (EECMS). This role offers an opportunity to build an academic career combining teaching, research, and industry engagement.

About the Role: This position involves contributing to a dynamic research environment with a focus on developing your research profile in Artificial Intelligence, Machine Learning, and Data Science. You will collaborate with experienced researchers on externally funded projects, aim to publish in high-quality journals and conferences, develop your own research program and funding portfolio, and contribute to research with impact for industry, society, and the broader community.

Responsibilities:

• Teaching:
• Deliver high-quality, student-centred teaching in undergraduate and postgraduate programs related to Artificial Intelligence, Machine Learning, Data Science, and associated disciplines.
• Design, develop, and enhance curriculum, learning resources, and assessments, integrating contemporary pedagogical practices and educational technologies.
• Facilitate engaging learning experiences through lectures, tutorials, laboratories, workshops, and project-based learning, promoting an inclusive learning environment.
• Supervise honours and postgraduate coursework research projects, and contribute to unit coordination and student mentoring, as appropriate for the appointment level.

• Research:
• Contribute to high-quality research in AI, Machine Learning, and Data Science.
• Publish research findings in high-quality refereed journals and conferences.
• Collaborate with colleagues and industry partners on research projects.
• Develop an emerging research profile and contribute to competitive funding applications.
• Assist with the supervision of honours and postgraduate research students.

• Engagement & Leadership:
• Contribute to a collegial, inclusive, and collaborative academic environment that supports excellence in teaching, research, and student success.
• Develop and maintain productive relationships with industry, professional bodies, alumni, and community partners to enhance teaching, research, and impact.
• Participate in academic governance, service activities, and professional engagement within the School, University, and broader discipline, as appropriate for the appointment level.

Selection Criteria:

• Qualifications:
• A doctoral qualification in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Software Engineering, or a closely related discipline, with expertise in the development or application of AI and data-driven technologies.

• Knowledge, Experience, and Skills:
• Demonstrated experience, or the capacity to contribute to, high-quality teaching at undergraduate and postgraduate levels in Artificial Intelligence, Machine Learning, Data Science, and related areas within computer science and software engineering.
• Demonstrated ability, or the potential, to develop and deliver engaging, student-centred learning experiences using contemporary teaching practices and educational technologies.
• Knowledge of contemporary educational practices, including curriculum design, assessment, and innovative approaches to teaching and learning in higher education.
• A developing track record of research in Artificial Intelligence, Machine Learning, Data Science, or related areas, demonstrated through quality research outputs, with the potential to establish an impactful research profile, attract competitive funding, and collaborate with industry and research partners.
• Excellent communication and interpersonal skills, with a demonstrated commitment to fostering a collegial, inclusive, and supportive working environment, and the ability to work effectively with students, colleagues, and external stakeholders from diverse cultural backgrounds.

Role Requirements: As this is a continuing (permanent) role, permanent work rights in Australia are required. Successful applicants will be subject to National Police Clearance, and background, integrity, and reference checks to Curtin’s satisfaction.

About the School of EECMS: Established in 2017, the School of Electrical Engineering, Computing and Mathematical Sciences (EECMS) brings together Curtin’s expertise in electrical engineering, computing, physics, mathematics, and statistics to advance understanding of our data-driven world. As part of Curtin’s Faculty of Science and Engineering, EECMS is one of the university’s largest schools, with a growing teaching and research portfolio. The school is at the forefront of emerging fields such as Artificial Intelligence, Machine Learning, Quantum Technologies, Energy Informatics, and Immersive Technologies. Teaching programs are delivered across Curtin’s global campuses.

Application Instructions: Interested candidates should submit an application as per the instructions provided in the original listing. (Specific application instructions are not detailed in the provided text and should be referred to from the original listing).

Job Reference: 16••218