Postdoctoral Fellow in NeuroSymbolic Artificial Intelligence

The Opportunity

The School of Computer Science and Engineering has an opportunity for a two-year fixed term Postdoctoral Fellow in Neuro-Symbolic Artificial Intelligence. This Level A position is expected to conduct research in Neuro-Symbolic AI for reasoning and decision-making contributing to UNSWs research effort and developing expertise through defined projects.

This position offers the opportunity to advance your scholarly research and professional activities on both national and international levels. You will contribute to the writing of scientific papers and reports for international journals participate in conferences and workshops supervise HDR students and actively collaborate with industry partners.

This role reports to Associate Professor Yang Song and has no direct reports.

• Salary Level A - AUD$95036 to $126711 per annum 17% superannuation
• Full time
• Fixed-term contract 2 years (with the possibility of one-year extension)
• Location: Kensington Sydney Australia

About UNSW

UNSW is a worldleading 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 realworld outcomes. The university is home to cuttingedge 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 worldclass 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 go to the following link - and Experience

• PhD (or soon to be awarded) in computer science and artificial intelligence.
• Strong knowledge and research outputs in AI particularly in the field of deep learning knowledge representation and reasoning or neuro-symbolic AI.
• Proven commitment to proactively keeping up to date with discipline knowledge and developments.
• Demonstrated ability to undertake high quality academic research and conduct independent research with limited supervision.
• Demonstrated track record of publications and conference presentations relative to opportunity.
• Demonstrated ability to work in a team collaborate across disciplines and build effective relationships.
• Evidence of highly developed interpersonal skills.
• Demonstrated ability to communicate and interact with a diverse range of stakeholders and students.
• An understanding of and commitment to UNSWs 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

To Apply:

Please click the Apply Now now button and submit your CV Cover Letter and Responses to the Skills and Experience. You should systematically address the Skills and Experience listed within the position description in your application.

Please note applications will not be accepted if sent to the contact listed below.

Contact:

For role-specific inquiries please contact A/Prof Yang Song

E:

For questions regarding the recruitment process please contact Eugene Aves (Talent Acquisition Partner)

E:

Applications close: 11:55 pm (Sydney time) on Tuesday 11 August 2026

As part of our recruitment process candidates may be required to undergo pre-employment screening which may include reference checks qualification verification right-to-work verification and criminal history screening where relevant to the role.

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.