Postdoc Position on Graph Representation Learning - CentraleSupélec, Inria, France

[Fragkiskos Malliaros]

Postdoctoral researcher position on Graph Representation Learning and Applications

CentraleSupélec, Inria, Paris-Saclay University (Paris, France)

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More information about the position can be found here.

Context

We are looking for a postdoctoral researcher to work on the broader field of graph representation learning and applications. Topics of interest, which also correspond to current research activities of the group, involve (but are not limited to):

• Development of Graph Neural Network (GNNs) architectures, focusing on expressiveness and scalability.
• Self-supervised learning on graphs.
• Geometric GNNs for molecular/atomic systems.
• Graph generative models.
• Graph representation learning for biomedical applications.

Candidate profile
We are looking for candidates that have:

• A recent Ph.D. degree in Computer Science, Mathematics, Engineering, Physics, or Biology with a strong mathematical background.
• Excellent knowledge of machine learning, and deep learning, and strong interest in working with graphs (Graph Neural Networks).
• Very good programming skills (Python, PyTorch).
• Good analytical and communication skills.

How to apply
Please send your application material by email to Fragkiskos Malliaros (fragkiskos (dot) malliaros (at) centralesupelec (dot) fr), including the following:

• A full CV including information about the acquired degrees and a list of publications.
• A motivation letter explaining your interest in the position (max 1 page).
• (Optional but recommended) The names and contact information of two references.

The applications will be reviewed on a rolling basis until the position is filled.