PhD opportunity - GeoDeep4Mesh: Geometric Deep Learning on 3D Mesh - AI_PhD@Lille, France

[Mohamed Daoudi]

PhD opportunity - GeoDeep4Mesh: Geometric Deep Learning on 3D Mesh - AI_PhD@Lille, France

 

We are looking for PhD student candidates on the following subject: Geometric Deep Learning on the Mesh   (GeoDeep4Mesh).

Abstract of the PhD 

While deep learning methods have been studied for quite a long time on regular domains like for images, learning solutions capable of working on non-Euclidean data like graphs, meshes or point clouds have been defined more recently. This area of research is attracting more and more interest for the potential applications in many disparate domains, going from modeling of social networks, molecules matching and design, to surface classification and recognition. This has originated a new area of investigation broadly known as Geometric Deep Learning. In this thesis proposal, we aim at investigating new solutions for learning on 3D meshes. On the one hand, our idea is to attack the problem by proposing equivariant networks capable of accounting for 3D transformations as well as embedding new metrics in the loss that are computed on the surface. On the other hand, we will propose generative models for meshes and point clouds that also account for the temporal dimension.

Click on for more details

https://drive.google.com/file/d/1zwHWPB8jFp6lQGOCm0SGuAYwHnzWyLnG/view?usp=sharing

Key words: 3D mesh, geometry, deep learning, face, human body.

Required skills

• The applicant should conduct Master or engineering studies in relevant fields (artificial intelligence, data science, mathematics).
• Strong algorithm and programming skills (PyTorch/Keras/Python/etc.).
• Familiarity with Riemannian/Differential geometry 
• Familiarity with deep learning in computer vision

The applicant should send an email to Prof. mohamed...@imt-nord-europe.fr subject [GeometricDeep] including at least:

 

1.     A detailed CV

2.     A motivation letter

3. Reference letters

4.     University transcripts

5.     Application deadline: April 1st  

 

The PhD thesis will be funded in the framework of the AI_PhD@Lille program. http://www.isite-ulne.fr/index.php/en/phd-in-artificial-intelligence/  

International collaborations

In this project, we will collaborate with the Media Integration and Communication Center (MICC) of the University of Florence.

The candidate will be funded for 3 years; he/she is expected to defend his/her thesis and graduate by the end of the contract. The monthly gross salary is around 2000€, including benefits (health insurance, retirement fund). 

The position is located in Lille, France. With over 110 000 students, the metropolitan area of Lille is one France's top education student cities. The European Doctoral College Lille Nord-Pas de Calais is headquartered in Lille Metropole and includes 3,000 PhD Doctorate students supported by university research laboratories. Lille has a convenient location in the European high-speed rail network. It lies on the Eurostar line to London (1:20 hour journey). The French TGV network also puts it only 1 hour from Paris, 35 mms from Brussels, and a short trips to other major centers in France such as Paris, Marseille and Lyon.