Postdoctoral Researcher in Interpretable Machine Learning for Rare Classes
il y a 1 semaine
Context and Key Responsibilities
INRIA is seeking a highly motivated postdoctoral researcher to join our team and contribute to the development of interpretable machine learning models for rare classes. The successful candidate will work on extending existing XAI approaches to semi-supervised learning and rare domains, leveraging domain knowledge and multimodal embeddings.
Key Activities
- Develop a manageable corpus for efficient classifier training
- Define a dictionary of relevant sub-concepts based on plankton ontologies and hierarchical classifications
- Collaborate with researchers from other OceanIA teams, including visits to teams in France and Chile
- Co-develop software and functionalities with INRIA project teams
- Participate in the production of scientific articles and reports
Requirements
- Good knowledge of machine learning and deep learning techniques
- Fluency in PyTorch or TensorFlow
- Strong programming skills
- Excellent teamwork and communication skills
Benefits
- Subsidized meals and partial reimbursement of public transport costs
- Generous leave policy and possibility of teleworking
- Access to professional equipment and training opportunities
- Social, cultural, and sports events and activities
Compensation
€2788 gross/month
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Orsay, Île-de-France INRIA Temps pleinJob DescriptionContext and Key ResponsibilitiesINRIA is seeking a highly skilled postdoctoral researcher to join our team and contribute to the development of interpretable machine learning models for rare classes. The successful candidate will work on extending existing XAI approaches to semi-supervised learning and rare domains, leveraging domain knowledge...
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Orsay, Île-de-France INRIA Temps pleinJob DescriptionContext and Key ResponsibilitiesINRIA is seeking a highly skilled postdoctoral researcher to join our team and contribute to the development of interpretable machine learning models for rare classes. The successful candidate will work on extending existing XAI approaches to semi-supervised learning and rare domains, leveraging domain knowledge...
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