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PhD position in Computer Vision "Geometric deep learning for modelling the spatiotemporal variability in longitudinal 3D shape data"

26 Avril 2023

Catégorie : Doctorant

PhD Project short description

The aim of this PhD thesis is to develop new mathematical methods and algorithms that will allow the use of population-level longitudinal studies to model spatial and temporal deformation patterns in 3D biological objects. Using novel geometric and deep learning techniques, we aim to create novel methods that will allow characterization of how the 3D shape of objects deforms with aging, disease progression, and interaction with their environment. These methods will also allow the simulation of spatio-temporal deformations in anatomical organs and the simulation of spatio-temporal deformations in anatomical organs. Benefits include a better understanding of growth processes, predictive models of degenerative disease progression, and a computational framework that will help design appropriate mitigation and intervention strategies.

Keywords: Deep Learning, 3D vision, shape analysis, geometric vision.


Working Environment

The thesis will carry out under joint co-supervision between IMT Nord Europe in France (Professor Hazem Wannous from CERI SN, HIDE team, IMT Nord Europe, and Murdoch University (Professor Hamid Laga from the School of Information Technology, Murdoch University)

The PhD thesis will be hosted for 18 months in the Centre for Education, Research and Innovation (CERI) Digital Systems at IMT Nord Europe (Lille, France) and 18 months in Murdoch University (Perth, Australia).

The PhD will be funded for 3 years (~1700-1800€ net per month for 18 months in France and AU$33000 net per year for 18 months in Australia). During the thesis, there will be opportunities to teach at IMT Nord Europe and Murdoch University, subject to satisfactory progress.

Team supervision

Candidate profile

Qualification: The successful candidate is expected to have a MSc degree, with a significant research component, completed by September 2023, with background in either image processing, computer vision, computer graphics or machine learning applied for vision. Students with background in mathematics, especially 3D geometry, are also highly encouraged to apply.

Experience: The ideal candidate should have some knowledge and experience in Computer vision and in Machine and Deep learning. The successful candidate should have strong programming skills.

The candidate should also be willing to spend 18 months in Australia and 18 months in France.


How to apply

Please send by May 20 2023: CV + grades + copy of degrees + motivation letter to Hazem Wannous,