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

Melbourne, Australia
Full-time
Mid-level
Posted: March 2, 2025
On-site
AUD 35,000-45,000 per year scholarship stipend, competitive with Australian Research Training Program rates

Benefits

Access to world-class research facilities
Mentorship from leading experts
Publication opportunities in top-tier journals
Industry collaboration opportunities
Supportive research community environment
3-year fixed-term scholarship position

Key Responsibilities

Conduct independent research in computer vision and AI
Develop and implement deep learning solutions
Publish research findings in top-tier academic journals
Collaborate with industry partners on real-world applications
Contribute to team discussions and research projects
Operate and develop robotic systems and drone technologies

Requirements

Education

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

Experience

Demonstrated extensive experience in computer vision and artificial intelligence

Required Skills

Published 2-3 research papers in top-tier venues (ICCV, CVPR, ICIP, ICPR, IEEE Transactions, Springer journals) Strong proficiency in Python and PyTorch Deep learning expertise in object detection, segmentation, and classification Experience with sensing technologies, drone operations, or robotic systems Working knowledge of Linux operating systems Strong written and oral communication skills

Certifications

Working with Children Check
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Sauge AI Market Intelligence

Industry Trends

The convergence of AI and robotics is creating unprecedented demand for PhD-level researchers who can bridge theoretical frameworks with practical applications Universities are increasingly partnering with industry to accelerate AI implementation in manufacturing and automation Computer vision applications are expanding beyond traditional domains into emerging fields like autonomous systems and smart infrastructure

Role Significance

Typically part of a research group of 5-10 members, including other PhD candidates, postdocs, and supervising faculty
Early-career researcher position with significant autonomy and research leadership opportunities

Key Projects

Development of advanced computer vision algorithms for robotic systems Implementation of deep learning models for real-world applications Collaborative industry projects in automation and sensing

Success Factors

Strong publication track record in top-tier venues Ability to balance independent research with collaborative projects Practical implementation skills in Python and deep learning frameworks Effective communication of complex technical concepts to diverse audiences

Market Demand

Very high demand with sustained growth projected over the next 5-10 years due to increasing automation and AI integration across industries

Important Skills

Critical Skills

Deep learning expertise - Essential for developing cutting-edge computer vision solutions Python/PyTorch proficiency - Required for implementing and testing research concepts Research publication experience - Critical for academic career progression

Beneficial Skills

Robotics systems knowledge Drone operation experience Project management skills Grant writing abilities

Unique Aspects

Strong focus on industry collaboration and practical applications
Access to advanced robotics and AI research facilities
Integration of computer vision research with robotics applications
Emphasis on publication in top-tier venues

Career Growth

3-4 years to PhD completion, with potential postdoc or industry transition opportunities thereafter

Potential Next Roles

Postdoctoral Researcher Industry Research Scientist AI/ML Team Lead University Lecturer

Company Overview

Swinburne University of Technology

Swinburne University of Technology is a research-intensive institution with a strong focus on technology and innovation

Leading Australian university in technology and engineering research, particularly known for industry partnerships
Significant presence in Asia-Pacific research community with strong international collaborations
Research-driven environment with emphasis on innovation, collaboration, and practical applications
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