Lecturer/Senior Lecturer in Neurosymbolic Artificial Intelligence at UNSW

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

30 Aug, 26

Salary

178290.0

Posted On

01 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Neurosymbolic Artificial Intelligence, Machine Learning, Symbolic Reasoning, Knowledge Representation, Reasoning Under Uncertainty, Interpretable AI, Curriculum Development, Academic Research, Postgraduate Teaching, Grant Application Writing, HDR Student Supervision, Educational Technology, Collaborative Research, Pedagogical Design, Industry Partnership Management, Research Leadership

Industry

Higher Education

Description

Job Details * Salary, * 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 * Full-time * 2-Year Convertible Tenure Track or continuing appointment * Location: Kensington – Sydney, Australia The Opportunity Join the School of Computer Science and Engineering in the Faculty of Engineering at UNSW as a Lecturer / Senior Lecturer in a Teaching and Research role. In this role, you will contribute to the advancement of research and education in Neurosymbolic Artificial Intelligence, while helping to shape the next generation of AI researchers and practitioners. You will conduct research in areas such as the integration of machine learning and symbolic reasoning to address complex and structured problems, and the development of robust and interpretable AI systems that advance the integration of learning and reasoning paradigms, contributing to high-impact research outcomes and the School’s growing research profile. With established strengths in artificial intelligence, machine learning, data science, and distributed systems, UNSW offers an exceptional environment for academics who are looking to build their research profile, contribute to collaborative research initiatives, and deliver high-quality teaching. You will contribute to the development of intelligent, interpretable, and trustworthy AI systems. This is an opportunity to join a global leader in Computer Science, with cutting-edge facilities, world-class faculty, and an innovative research environment. With strong industry partnerships and a commitment to sustainability, UNSW provides excellent opportunities for career development, collaboration, and impact. About You You are an emerging or established academic with a strong foundation in Neurosymbolic Artificial Intelligence, with the ability to contribute to high-quality research and teaching. You bring expertise in areas such as machine learning and symbolic reasoning integration, knowledge representation, reasoning under uncertainty, and interpretable AI, and demonstrate the potential to build a strong research profile. At Lecturer level (Level B), you will be developing your research profile and contributing to collaborative research activities, including competitive grant applications and scholarly publications, while also delivering high-quality teaching and supporting student learning across undergraduate and postgraduate courses. At Senior Lecturer level (Level C), you will demonstrate an established research track record with evidence of research leadership, success in securing competitive funding, supervising HDR students, and making significant independent contributions to your field. You will also contribute to educational leadership through high-quality teaching, curriculum development, and mentoring students and colleagues. You are an engaging educator with experience in delivering high-quality teaching and contributing to curriculum development. You are collaborative, adaptable, and motivated to contribute to a high-performing academic environment and to build strong relationships across academia and industry. 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 School of Computer Science and Engineering is one of the largest and most prestigious schools of computing in Australia. It offers undergraduate programmes in Software Engineering, Computer Engineering, Computer Science, and Bioinformatics, as well as a number of combined degrees with other disciplines. Our research and teaching staff are world leading and world building as they advance knowledge and learning. For more information on our school, please visit: https://www.unsw.edu.au/engineering/our-schools/computer-science-and-engineering [https://www.unsw.edu.au/engineering/our-schools/computer-science-and-engineering] Skills & Experience: Lecturer (Level B) * A PhD in a related discipline, and/or relevant work experience. * 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). * 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. Senior Lecturer (Level C) * A PhD in a related discipline, and/or relevant work experience. * 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. * 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, 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. * 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. Additional details about the specific responsibilities for this position can be found in the position description. This is available via JOBS@UNSW. To Apply: If you are an emerging academic looking to build your research and teaching profile, or an established academic seeking to further your career, this opportunity offers the chance to contribute to high-quality research, deliver engaging teaching, and help shape the future direction of the School. We encourage you to click the “Apply Now” button and submit your CV, cover letter, and responses addressing the Skills and Experience criteria. If this opportunity interests you, but your experience does not align perfectly with every selection criterion, we still encourage you to apply. If you have had any interruption in your career, you are encouraged to include a ROPE statement as part of your application. For information on ROPE please check: https://www.arc.gov.au/about-arc/program-policies/research-opportunity-and-performance-evidence-rope-statement [https://www.arc.gov.au/about-arc/program-policies/research-opportunity-and-performance-evidence-rope-statement] Please note applications will not be accepted if sent to the contact listed below. Contact: Eugene Aves - Talent Acquisition Consultant E: eugene.aves@unsw.edu.au [eugene.aves@unsw.edu.au] Applications close: 11:50 pm (Sydney time) on Friday, 31 July 2026 Pre-Employment Checks Aligned with UNSW’s focus on cultivating a workplace defined by safety, ethical conduct, and strong integrity preferred candidates will be required to participate in a combination of pre-employment checks relevant to the role they have applied for. These pre-employment checks may include a combination of some of the following checks: - * National and International Criminal history checks * Entitlement to work and ID checks * Working With Children Checks * Completion of a Gender-Based Violence Prevention Declaration * Verification of relevant qualifications * Verification of relevant professional membership * Employment history and reference checks * Financial responsibility assessments/checks. * Medical Checks and Assessments Compliance with the necessary combination of these checks is a condition of employment at UNSW. UNSW is committed to evolving a culture that embraces equity and supports a diverse and inclusive community where everyone can participate fairly, in a safe and respectful environment. We welcome candidates from all backgrounds and encourage applications from people of diverse gender, sexual orientation, cultural and linguistic backgrounds, Aboriginal and Torres Strait Islander background, people with disability and those with caring and family responsibilities. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.

Responsibilities

Conduct high-impact research in Neurosymbolic AI, focusing on the integration of machine learning and symbolic reasoning. Deliver high-quality teaching and contribute to curriculum development for undergraduate and postgraduate students.