Monash University
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Research Assistant - Neuro-Symbolic Reasoning

GraduateJuniorPart-timeHybridClayton VIC 3168, AustraliaPosted 3 weeks agoVerified 3 weeks 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.

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💻

Strong programming skills

Demonstrated experience with Python and AI frameworks like PyTorch.

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📊

Research expertise

Proven background in neuro-symbolic AI and knowledge representation.

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Meet the team

About the company

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

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

View

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

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

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Project management skills
Demonstrated ability to manage research projects effectively.

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