Postdoctoral Researcher in Interpretable Multi-Modal Embeddings for Rare Classes
il y a 4 semaines
Job Description
The INRIA team is seeking a postdoctoral researcher to work on interpretable multi-modal embeddings for rare classes. The successful candidate will be responsible for developing and applying novel XAI approaches to semi-supervised learning in rare domains.
Key Responsibilities
- Develop and apply novel XAI approaches to semi-supervised learning in rare domains
- Collaborate with researchers from other OceanIA teams to leverage domain knowledge and ground relevant sub-concepts in the classifier latent space
- Co-develop software/functionalities with Inria project teams and participate in their dissemination through Oceania meetings and ML conferences
- Participate in the production of scientific articles and reports
Requirements
- Good knowledge of Machine Learning
- Fluent in PyTorch/TensorFlow
- Flair for programming
- Sense of teamwork
Benefits
- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT + possibility of exceptional leave
- Possibility of teleworking and flexible organization of working hours
- Professional equipment available
- Access to vocational training
- Social security coverage
Salary
2788 € gross/month
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