1 месяц назад
PhD Scholarships: Machine Vision (AI)
35 656AUD
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TL;DR
PhD Scholarships: Machine Vision (AI): Advancing deep visual understanding of natural objects and environments through fundamental research in computer vision and multimodal machine learning with an accent on representation learning, vision-language reasoning, fine-grained categorization, and trustworthy AI systems. Focus on developing novel deep learning methods, publishing research in leading venues, and collaborating with researchers and industry partners.
Location: Brisbane South (Nathan) campus, Australia; primarily campus-based, with possible work across other locations
Scholarship stipend: AUD 35,656 per year, indexed, for up to three years of full-time study
Company
is a multidisciplinary research university working with industry partners, national research institutions, and international collaborators.
What you will do
- Conduct fundamental research into machine vision and deep visual understanding of natural objects and environments.
- Develop novel deep learning methods for representation learning and visual recognition.
- Research vision-language reasoning, fine-grained and ultra-fine-grained visual categorization, and multimodal machine learning.
- Develop trustworthy artificial intelligence systems and data-driven models.
- Publish high-quality research papers in leading computer vision and machine learning conferences and journals.
- Collaborate with research fellows, PhD students, industry partners, and international research communities.
Requirements
- Completed Bachelor’s degree with first-class honours equivalent, or a Master’s degree with a significant research component, or an equivalent level of attainment.
- Strong analytical and problem-solving skills, a solid mathematical foundation, and the ability to work independently and collaboratively.
- Demonstrated passion for computer vision and image processing.
- Domestic and international applicants are welcome; international applicants must meet the program’s English language proficiency requirements.
- For international applicants, accepted evidence includes IELTS Academic 6.5 overall with no band below 6.0, TOEFL iBT 79 with no sub-score below 19, or equivalent approved test scores.
Nice to have
- Academic qualifications in computer science, engineering, or applied mathematics.
- Experience in deep learning, visual recognition, multimodal AI, pattern recognition, or data-driven modelling.
- Publications in top-tier venues such as CVPR, ICCV, ECCV, NeurIPS, AAAI, or IJCAI.
Culture & Benefits
- Advanced research training within a collaborative and multidisciplinary environment.
- Access to collaboration with leading researchers, industry collaborators, and international research communities.
- Postgraduate Research Scholarship or equivalent ARC Industry Laureate Fellowship package.
- International scholarship support covering tuition fees for eligible international applicants for up to three years.
- Support for professional and personal development, with an emphasis on diversity, inclusion, and flexibility.
Hiring process
- Submit an expression of interest by email with a suitability statement, research proposal of up to two pages, academic evidence, CV, and details of two referees.
- Shortlisted applicants will be invited to apply online for the research program and scholarship.
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