Post-Doctorant F/H Neurosymbolic Relational Graph Neural Networks
Inria · Montbonnot
Research instituteonsitepostdoc$37k
At a glance
Highlights
- Design neurosymbolic GNNs for learning over large-scale relational databases.
- Build a new benchmark testing use of rules, constraints and schema semantics.
- Advance atomic routes for structured exchange across complex relational paths.
Ideal candidate
A curious researcher with a PhD mindset passionate about bridging symbolic reasoning and deep learning, eager to formalize semantics and evaluate models on large relational data.
Lab profile
About Inria
French national research institute advancing digital sciences, computing, AI and applied mathematics.
What they build
- Digital sciences and computing research
- Artificial intelligence for microscopy and video analysis
- Quantum information theory
Known for
- Joint teams with Paris-Saclay University and Institut Polytechnique de Paris
- Embedded in Paris-Saclay science and technology cluster
- Rich R&D ecosystem with startups, industry and clusters
- International collaborations and multinational scientific staff
Key facts
- Founded in 1967
- Headquartered in France
- Nine research centres across France
Posted · Last seen