Machine Learning in Computer Vison (Airport Baggage Inspection) – PhD scholarship

A full-time PhD scholarship is available in the area of Artificial Intelligence / Machine Learning in Computer Vision for students pursuing a PhD study. The project will develop machine learning and deep learning approaches in processing, segmenting, identifying, and analyzing 2D and 3D x-ray images for automated baggage inspection at airports. The scholarship includes an industry internship of at least 60 full-time equivalent days.

Candidates with a related background in Computer vision, Image processing and image analysis, Computer Science, ICT and Engineering, Physics, Mathematics and Statistics are invited to apply. Demonstrated working knowledge of Computer Vision and Machine Learning in images is essential.  Good programming skills in python is essential. Knowledge of CT scan is beneficial. Ideally, the successful candidate should have journal publications and/or conference presentation experience.

The successful candidate will work under the supervision of Dr Gobert Lee https://www.flinders.edu.au/people/gobert.lee and Dr Mariusz Bajger and will collaborate with academic and industrial collaborators. We are looking for a highly self-motivated student. The successful candidate must be able to work independently as well as a member of a team. The successful candidate must demonstrate excellent oral and written communication skills as well as interpersonal skills towards staff, students, and collaborators.

The scholarship will be awarded for 3 years and includes:

• A stipend valued at AUD 35,000 per annum (indexed annually)
• Possibility of a 6 month extension
• Industry internship of at least 60 full-time equivalent days

• Australian and International students are eligible
• The successful candidate must meet Flinders University PhD admission requirements