[visionlist] PhD position -- Machine Learning in Computer Vision (Airport Baggage Inspection)

[Gobert Lee]

PhD Scholarship -- Machine Learning in Computer Vision (Airport Baggage Inspection)

Description
A fully funded PhD position is available in the area of Machine Learning/Deep Learning in Computer Vision and Image Processing 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 a stipend of $35,000 per annum and 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.

Application Information:
To apply, please send an expression of interest (EOI) to Dr Gobert Lee gobert.lee at flinders.edu.au<mailto:gobert.lee at flinders.edu.au> . In the subject of the email, please state "EOI PhD Scholarship". Please include

  1.  a cover letter outlining your research interests, 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/industry referees.
EOI will be reviewed on a rolling basis. Shortlisted candidates will be invited to submit a full application.



Dr Gobert Lee
Lecturer in Statistical Science
College of Science and Engineering

E: Gobert.lee at flinders.edu.au<mailto:Gobert.lee at flinders.edu.au>
https://www.flinders.edu.au/people/gobert.lee


[FlindersUniversity]
Tonsley Innovation District,
1284 South Rd, Tonsley, SA, 5042
flinders.edu.au<https://flinders.edu.au/>

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