Associate Professor in Neurosymbolic Artificial Intelligence

Overview Associate Professor in Neurosymbolic Artificial Intelligence – based in Sydney, NSW, Australia. Full Time, Kensington – Sydney, Australia. Salary: AUD $185,917 to $204,218 per annum + 17% superannuation. This is a teaching and research role within the School of Computer Science and Engineering at UNSW. The Opportunity Join the School of Computer Science and Engineering in the Faculty of Engineering at UNSW as an Associate Professor in a Teaching and Research role. As an Associate Professor, you will be a senior academic leader contributing to and shaping the strategic direction of research and education in Neurosymbolic Artificial Intelligence. You will drive high-impact research with national and international visibility across areas such as the integration of machine learning and symbolic reasoning to address complex problems, including knowledge representation, reasoning systems, and hybrid AI architectures, while advancing the School’s research profile, industry engagement, and educational excellence. With strengths in artificial intelligence, machine learning, data science, cybersecurity, and distributed systems, UNSW offers an environment for ambitious academics ready to lead innovative programs, mentor researchers, and contribute to institutional strategy, governance, and interdisciplinary collaboration. You will help advance the future of robust, interpretable, and trustworthy AI systems that combine learning and reasoning. This is an opportunity to join a global leader in Computer Science, with cutting-edge facilities, world-class faculty, and an innovative research environment. UNSW provides opportunities for leadership, collaboration, and impact through strong industry partnerships and a commitment to sustainability. About You You are an established academic with a strong and sustained track record of high-impact research in Neurosymbolic Artificial Intelligence, with growing national or international reputation. You bring expertise in areas such as neural and symbolic integration, reasoning under uncertainty, knowledge representation, and interpretable AI applied to complex domains, and you can translate research into real-world impact. With a proven ability to secure competitive research funding, lead research initiatives, and supervise higher degree research students to completion, you are an engaging educator with experience delivering high-quality teaching and contributing to curriculum development. As a senior academic, you will demonstrate leadership within your discipline, contribute to strategic initiatives, academic governance, or program development, and build partnerships across academia and industry. Qualifications & Skills A PhD in a related discipline, and/or relevant work experience. Commitment to staying up to date with discipline knowledge and developments. Experience in teaching and learning design using diverse pedagogical approaches, including development and delivery of courses/programs at undergraduate and/or postgraduate levels. Experience implementing educational technologies and online delivery methods. Evidence of teaching effectiveness and a commitment to educational excellence. Experience with industry or work-integrated learning. Professional development of teaching practice with ability to lead an inclusive culture of excellence in learning and teaching. Experience initiating curriculum development and improvement. Strong interpersonal and organizational skills. Ability to support and inspire students from diverse backgrounds and contribute to equity, diversity and inclusion initiatives. Significant track record in research leadership with high-quality, high-impact international outcomes and ongoing research leadership. Strong record of recruiting and supervising high-calibre students. Demonstrated leadership in building engagement and partnerships with the profession and industry. Understanding of UNSW’s aims, objectives, values, policies and guidelines. Knowledge of health and safety responsibilities and commitment to relevant training. Pre-Employment & Compliance Aligned with UNSW’s focus on safety, ethical conduct, and integrity, preferred candidates may be required to participate in pre-employment checks relevant to the role. These checks may include: criminal history checks, entitlement to work and ID checks, Working With Children checks, a gender-based violence prevention declaration, verification of qualifications and relevant professional membership, employment history and references, financial responsibility assessments, and medical checks. Compliance with the necessary checks is a condition of employment at UNSW. Application Details Applications close: 11:50 pm (Sydney time) on Sunday, 26 July 2026. The position description and further information are available via the university careers portal. #J-18808-Ljbffr UNSW