Monash University
24 followers8 jobs

Research Assistant - Neuro-Symbolic Reasoning

GraduateJuniorPart-timeHybridClayton VIC 3168, AustraliaPosted 4 days agoVerified 1 week ago
Pending fitX of Y criteria met

About the job

The Research Assistant position focuses on advancing trustworthy AI through the development of novel neuro-symbolic AI methods. This role is crucial in exploring complex behaviours such as reliability and transparency, contributing to high-impact research and innovative solutions. The team thrives in a collaborative environment, fostering creativity and inclusivity.

You'll be responsible for

💡

Designing innovative reasoning algorithms

Creating and developing innovative reasoning algorithms and frameworks integrated with machine learning.
📚

Contributing to high-impact research publications

Collaborating on research publications, software, and evaluation methodologies that advance trustworthy AI.
⚙️

Developing experimental frameworks

Designing experimental frameworks to evaluate complex behaviours in AI systems.

Key criteria

🧠

PhD or near completion

Possession of a PhD in AI, Computer Science, or related field.

View

💻

Strong programming skills

Demonstrated experience with Python and AI frameworks like PyTorch.

View

📊

Research expertise

Proven background in neuro-symbolic AI and knowledge representation.

View

View more

Meet the team

About the company

  • Explore
    • Jobs
    • Companies
    • People
    • Communities
    • Hatch Hotlist 2026
  • Hiring
    • Permanent hires
    • Student placements
  • Resources
    • Blog
    • Community stories
    • Career advice
    • Customer stories
    • Help centre
  • Hatch
    • About
    • Careers
    • Contact
    • Hatch updates
    • Media enquiries
  • © 2026 Hatch
  • Privacy
  • Terms
  • Categories

A meaningful career starts with a match

Get started
Apply on Monash University
You'll apply on an external website
Think you're a good fit?See what the hiring team are looking for

View your fit

5 criteria for this job
PhD or near completion
Possession of a PhD in AI, Computer Science, or related field.

View

Strong programming skills
Demonstrated experience with Python and AI frameworks like PyTorch.

View

Research expertise
Proven background in neuro-symbolic AI and knowledge representation.

View

Analytical problem-solving
Experience in evaluating complex behaviours and reasoning methods.

View

Project management skills
Demonstrated ability to manage research projects effectively.

View

Similar jobs

View all
University of Melbourne
University of Melbourne
Research Assistant in Computational Drug DiscoveryMelbourne, VIC · Full-time
This job is about leading computational analyses for a collaborative contraceptive discovery project within the School of BioSciences. The impact of this work is significant, as it contributes to innovative research in women’s and reproductive health. The team thrives in a supportive, interdisciplinary environment that values curiosity, inclusion, and career development.
RMIT University
RMIT University
Research Fellow (Level A/B) - AI for EV Battery RepurposingMelbourne, VIC · Full-time
This job is about joining RMIT’s School of Engineering as a Research Fellow, focusing on AI-powered automation for repurposing second-life electric vehicle batteries. The position plays a crucial role in addressing sustainability challenges in energy and mobility sectors. The team values collaboration and independence, fostering an environment where innovative research can thrive.
Adelaide University
Adelaide University
Research AssociateAdelaide, SA · Full-time
This job is about contributing to groundbreaking research in operational forest inventory technologies at Adelaide University. By joining a collaborative team, you will play a vital role in developing innovative methods that enhance forest management and sustainability. The team thrives on curiosity, authenticity, and a commitment to lifelong learning, making it a fantastic environment for growth and impact.
Monash University
Monash University
Research Fellow (Computational Microbiome Scientist)Box Hill, VIC · Full-time
Join the Gunjur Laboratory as a Research Fellow (Computational Microbiome Scientist) and contribute to groundbreaking research investigating the relationship between the human-associated microbiome, diet, and cancer outcomes. This position is vital for advancing our understanding of microbiome research, working closely with a collaborative team to support a growing program. The team values inclusivity and innovation, creating an environment where extraordinary ideas flourish.