AI, Computer Vision and Intelligent Software Development for Remote Operations
Engineering, IT, Mathematics and Statistics
ABOUT THE INDUSTRY PARTNER
CapabilityX is a leading remote operations technology provider dedicated to transforming how businesses manage and optimise their remote assets. Their cutting-edge solutions empower organisations to seamlessly connect, collaborate, and achieve peak performance, regardless of location. By leveraging advanced automation, real-time analytics, and secure cloud infrastructure, they deliver unparalleled efficiency and productivity. CapabilityX is committed to driving innovation and enabling businesses to unlock their full potential in a rapidly evolving digital landscape.
WHAT’S IN IT FOR YOU?
- Apply advanced research skills to real-world industry challenges involving AI, machine learning, computer vision and automation.
- Gain hands-on experience developing and evaluating innovative software technologies.
- Work alongside industry professionals to understand the commercial applications of emerging technologies.
- Develop practical skills in software development, testing, optimisation and integration.
- Explore opportunities to translate academic research into commercially relevant applications.
RESEARCH TO BE CONDUCTED
The project will explore the development, optimisation and application of intelligent software solutions for remote operations, industrial safety and robotics.
Potential research activities may include:
- Investigating and developing AI and machine learning models for industrial applications.
- Exploring computer vision techniques for real-time object detection, tracking and hazard identification.
- Researching edge computing approaches for efficient, real-time AI processing.
- Investigating digital twin technologies and their integration with operational systems.
- Developing, testing and optimising software solutions for deployment in real-world environments.
- Evaluating system performance, accuracy, reliability and computational efficiency.
Project Flexibility: The specific research direction, scope and deliverables will be tailored to the successful PhD candidate’s academic background, technical expertise and research interests. The final project will be collaboratively developed and agreed upon between the candidate, their academic mentor and CapabilityX, ensuring alignment with the candidate’s capabilities and professional development goals.The project will investigate the design, development and optimisation of communications networks that support reliable connectivity across remote, industrial and autonomous operating environments.
SKILLS WISH LIST
If you’re a postgraduate research student and meet some or all the below we want to hear from you. We strongly encourage women, indigenous and disadvantaged candidates to apply:
- Artificial intelligence and machine learning.
- Computer vision and image processing.
- Python, C++ or other programming languages.
- Deep learning frameworks such as PyTorch or TensorFlow.
- Edge computing, embedded systems or real-time processing.
- Software development, testing and optimisation.
- Digital twins, robotics or industrial automation.
Candidates are not expected to possess all listed skills. CapabilityX welcomes applicants with complementary research backgrounds who are interested in applying their expertise to industry challenges.
RESEARCH OUTCOMES
Depending on the agreed research scope, anticipated outcomes may include:
- Development or refinement of AI and machine learning models.
- Prototype computer vision or intelligent automation applications.
- Improved software performance, reliability or processing efficiency.
- Evaluation of emerging technologies for practical industrial deployment.
- Technical documentation, research findings and recommendations for future development.
Final deliverables will be negotiated between the student, academic mentor and CapabilityX based on the agreed research objectives, project duration and candidate’s expertise.
ADDITIONAL DETAILS
The intern will receive $3,300 per month of the internship, usually in the form of scholarship payments.
It is expected that the intern will primarily undertake this research project during regular business hours and maintain contact with their academic mentor throughout the internship either through face-to-face or phone meetings as appropriate.
The intern and their academic mentor will have the opportunity to negotiate the project’s scope, milestones and timeline during the project planning stage.
Please note, applications are reviewed regularly and this internship may be filled prior to the advertised closing date if a suitable applicant is identified. Early submissions are encouraged.
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