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Published: 24 Feb 2021 1,487 views
Outstanding and motivated PhD candidates, with very good first Masters or honours degree in mathematics, computer science or science, are being sought to work as part of a research team on developing methods for underwater and marine computer vision. The research in this project has a strong focus on machine learning. A strong background in mathematics and some programming experience is desirable for this position. Experience in computer vision and/or machine learning is also a plus. The project is a collaborative effort with CSIRO and is part of the Machine Intelligence Research Lab at Deakin University, Australia.
Deakin has celebrated a significant number of milestones in its time. Year after year, advancements in technology, new academic and industry partnerships, groundbreaking research outcomes and innovative course delivery methods put Deakin at the forefront of higher education. With five popular campuses – including the online Cloud Campus – multi-million dollar research facilities and technology-rich learning centres across Victoria, we've gone from local university to globally connected university. Deakin provides a world-class education wherever you are, whenever y... continue reading
| Application Deadline | 26 Mar 2021 |
| Country to study | Australia |
| School to study | Deakin University |
| Type | PhD |
| Sponsor | Deakin University |
| Gender | Men and Women |
Tuition fee and stipend.
A strong background in mathematics and some programming experience is desirable for this position. Experience in computer vision and/or machine learning is also a plus.
International onshore and domestic applicants only. Unfortunately, with travel restrictions preventing offshore international students commencing in Australia, the higher degree by research admissions team is not currently considering applications from offshore international students
A cover letter explaining why you believe you are a suitable candidate (maximum 1 page), alongside a curriculum vitae should be emailed to [email protected]
For more details, visit Deakin University website.
