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Postdoctoral Researcher in Explainable AI for Marine Ecosystems
Il y a 2 mois
About the Role
INRIA is seeking a highly motivated Postdoctoral Researcher to contribute to cutting-edge research in explainable artificial intelligence (XAI) applied to marine ecosystem characterization. This role offers an exciting opportunity to work with multidisciplinary teams, leveraging advanced machine learning techniques to analyze and interpret large datasets of marine imagery.
Your Responsibilities
- Develop a comprehensive dataset tailored for efficient classification systems in the context of marine ecosystems.
- Construct a detailed dictionary of relevant sub-concepts, drawing upon existing resources and domain expertise.
- Collaborate closely with OceanIA researchers based in France and Chile to advance research efforts.
- Contribute to software development initiatives and knowledge dissemination within the research community.
- Participate actively in drafting scientific publications and reports, sharing your findings with a wider audience.
Required Skills and Qualifications
- Strong foundation in machine learning principles and algorithms.
- Proficiency in deep learning frameworks such as PyTorch or TensorFlow.
- Excellent programming skills, with a demonstrated ability to develop and maintain robust code.
- Collaborative mindset and strong communication skills, enabling effective teamwork within a diverse research environment.
Benefits of Joining INRIA
- Competitive monthly gross salary: €2788
- Subsidized meals provided on-site.
- Partial reimbursement for public transportation costs.
- Generous annual leave and additional days off to ensure work-life balance.
- Flexible work arrangements, including telecommuting options and adaptable working hours.
- Access to state-of-the-art equipment and resources to support your research endeavors.
- Engaging social and cultural events organized throughout the year.
- Opportunities for professional development and training to enhance your skills.
- Comprehensive social security coverage.
