[visionlist] PhD position – Machine Learning for 3D Image Segmentation
gobert.lee at flinders.edu.au
Mon Jul 10 01:34:13 -04 2023
The Artificial Intelligence and Image Analysis Research Group at the School of Science and Engineering, Flinders University, Adelaide, Australia has a fully funded PhD position (scholarship) in Machine Learning. The scholarship is part of the South Australian Government’s prestigious Industry Doctoral Training Centres<https://www.diis.sa.gov.au/innovation/science/industry-doctoral-training-centres> Pilots, interactive learning sessions embedded and is awarded to students pursing a PhD degree. Australian and International students are eligible to apply. Scholarship available immediately.
* Topic: Machine Learning for Robust Object Detection, Segmentation, and Identification in 3D Images
The successful candidate will work under the supervision of Dr Gobert Lee and Dr Mariusz Bajger and will collaborate with academic and industrial/clinical collaborators. The successful candidate must be highly self-motivated, able to work independently and in a team. Demonstration of good communication and interpersonal skills is essential. The scholarship includes an Industry internship component.
The successful applicant must have solid background in machine learning, and object detection/segmentation in images, with an emphasis on machine learning and deep learning.
How To Apply:
Please send expression of interest (EOI) to Dr Gobert Lee gobert.lee at flinders.edu.au<mailto:gobert.lee at flinders.edu.au>. Your email should include the Subject line “EOI PhD scholarship – Machine Learning for 3D Image Segmentation”. Your EOI should include
(1) a cover letter outlining your research interests/experience, your motivation for pursing a PhD, and your suitability for this project;
(2) a curriculum vitae (including education, work/research experience and publications);
(3) academic transcripts; and
(4) contact details of two academic / professional referees.
Application is open until filled. EOI will be accepted and reviewed on a rolling basis. Shortlisted candidates will be invited to submit a full application. Scholarship available immediately.
For more information:
Gobert Lee, PhD
Lecturer in Statistical Science
College of Science and Engineering
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