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PhD Scholarship - AI/CV - Job Opportunity at Swinburne University of Technology

Melbourne, Australia
Full-time
Mid-level
Posted: March 14, 2025
On-site
AUD 35,000-45,000 per year stipend, typical for Australian PhD scholarships with potential industry top-up

Benefits

Research facilities access
Academic mentorship program
Industry collaboration opportunities
Publication support
Work-life balance policies
Flexible working arrangements
Professional development resources

Key Responsibilities

Conduct advanced research in computer vision and AI applications
Develop and implement novel algorithms for object detection and segmentation
Operate and program robotic systems and drone technologies
Publish research findings in top-tier academic journals
Collaborate with industry partners on real-world applications
Contribute to team research initiatives and knowledge sharing

Requirements

Education

Masters or undergraduate degree in computer engineering, electrical engineering, or robotics

Experience

2-3 published research papers in top-tier venues

Required Skills

Computer vision expertise Artificial intelligence knowledge Python programming PyTorch framework Deep learning implementation Object detection Segmentation algorithms Classification systems Drone operations Robotic systems Linux operating systems

Certifications

Working with Children Check
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Sauge AI Market Intelligence

Industry Trends

The convergence of AI and robotics is driving significant research investment, particularly in autonomous systems and computer vision applications. Academic institutions are increasingly partnering with industry to accelerate practical implementation of AI research. The focus on drone technologies and robotic systems indicates a growing emphasis on real-world autonomous systems.

Role Significance

Typically part of a research group of 5-10 members, including other PhD candidates, postdocs, and supervising professors
Research-focused role with significant autonomy and potential for academic leadership development

Key Projects

Development of advanced computer vision algorithms for autonomous systems Integration of AI systems with robotic platforms Real-world implementation of deep learning models for industrial applications

Success Factors

Strong foundation in both theoretical and practical aspects of AI/CV Ability to bridge academic research with industrial applications Publication track record in recognized venues Collaborative mindset with independent research capabilities

Market Demand

Very high demand, particularly in Australia where AI and robotics expertise is crucial for the country's technology sector growth strategy

Important Skills

Critical Skills

Advanced programming skills particularly in Python and PyTorch are essential for implementing complex AI algorithms Deep understanding of computer vision and machine learning principles is crucial for research innovation Experience with robotic systems and drone operations indicates practical implementation focus

Beneficial Skills

Project management capabilities for research planning Grant writing experience Teaching and mentoring skills Industry networking abilities

Unique Aspects

Strong focus on practical implementation of theoretical research
Direct industry collaboration opportunities
Access to advanced robotics and drone facilities
Emphasis on both academic excellence and industrial relevance

Career Growth

3-4 years for PhD completion, with immediate opportunities in both academia and industry post-graduation

Potential Next Roles

Postdoctoral Researcher Industrial Research Scientist AI Research Lead University Lecturer R&D Manager in Tech Industry

Company Overview

Swinburne University of Technology

Swinburne University of Technology is a research-intensive institution with a strong focus on technology and innovation, particularly known for its industry connections

Among Australia's leading technical universities with growing international recognition in AI and robotics research
Major research hub in Melbourne's technology ecosystem with strong industry partnerships
Research-driven environment with emphasis on innovation, collaboration, and industry engagement
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