The Opportunity

The Faculty of Information Technology is seeking a Research Fellow to advance cutting-edge research in neuro-symbolic artificial intelligence within the Department of Data Science and Artificial Intelligence, with a focus on visual reasoning and robotic systems.

The Research Fellow position involves developing novel approaches that integrate computer vision, natural language processing, and symbolic reasoning, contributing to both theoretical advances and real-world robotic applications.

The successful candidate will have a strong research background in at least two of the following areas:

Computer Vision
Natural Language Processing
Knowledge Representation and Reasoning / Logic
Robotics or Embodied AI

Experience with robotic platforms or simulation environments (e.g., ROS, Isaac Gym, Habitat, AirSim) and experience in combining symbolic reasoning with deep learning approaches will be well regarded.

This is an exciting opportunity for a motivated researcher to build their expertise, expand their research portfolio, and contribute to a rapidly growing area of global significance.

About Monash University

At Monash, work feels different. There's a sense of belonging, from contributing to something ground breaking – a place where great things happen. We value difference and diversity, and welcome and celebrate everyone's contributions, lived experience and expertise. That's why we champion an inclusive and respectful workplace culture where everyone is supported to succeed.

Some 20,000 staff work for Monash around the world. We have 95,000 students, four Australian campuses, and campuses in Malaysia and Indonesia. We also have a major presence in India and China, and a significant centre and research foundation in Italy.

In our short history, we have skyrocketed through global university rankings and established ourselves consistently among the world's best tertiary institutions. We rank in the world's top-50 universities in rankings including the QS World University Rankings 2026.

Together with our commitment to academic freedom, you will have access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities. Learn more about Monash.

Today, we have the momentum to create the future we need for generations to come. Accelerate your change here.

Monash supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments. This includes supporting parents.

To Apply

For instructions on how to apply, please refer to 'How to apply for Monash Jobs'.

Your application must address the Key Selection Criteria.

Diversity is one of our greatest strengths at Monash. We encourage applications from Aboriginal and Torres Strait Islander people, culturally and linguistically diverse people, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups.

We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at h***@********* in an email titled 'Reasonable Adjustments Request' for a confidential discussion.

Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University.

Enquiries: Associate Professor Hamid Rezatofighi, Department of Data Science and Artificial Intelligence, Faculty of Information Technology, h***@***********

Employment Details:

Location: Clayton campus
Employment Type: Full-time
Duration: 2-year fixed-term appointment
Remuneration: $123,138 - $146,228 pa Level B (plus 17% employer superannuation)

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Research Fellow in Neuro-Symbolic Artificial Intelligence