Ingénieur CDD en apprentissage profond sur nuages de points
Inria
Inria is recruiting a research engineer to scale and operationalize deep-learning methods for automatic processing of bathymetric geospatial point clouds.
The current cycle is confirmed, the official application route is active and a closing date is recorded.
Source visited 22 Aug 2026 (UTC). A source visit does not establish every employment term or confirm that applications remain open.
- Source review was due 25/08/2026. Confirm details on the official page.
- Reviewed evidence is not available for: deadline, employment terms, requirements, application link, compensation.
Vacancy terms
- Career stage
- Other research employment
- Employment type
- Not stated
- Contract
- Not stated
- Contract ends
- Not stated
- Original contract term
- 12 months
- Schedule
- Not stated
- Workplace
- Not stated
- FTE
- Not stated
- Salary
- Remuneration according to profile, experience and applicable contract-agent salary grids. (currency not stated)
- Department or school
- Not stated
- Posted
- Not stated
Responsibilities
- Scale, evaluate and operationalize deep-learning pipelines for bathymetric point-cloud processing in collaboration with Shom.
Qualifications and requirements
Qualifications
- Graduate degree or equivalent, with solid machine-learning and deep-learning foundations, strong Python skills using Scikit-learn, PyTorch and TensorFlow, and practical MLOps experience.
Requirements
- Graduate degree or equivalent, with solid machine-learning and deep-learning foundations, strong Python skills using Scikit-learn, PyTorch and TensorFlow, and practical MLOps experience.
Benefits
- Remuneration according to profile, experience and applicable contract-agent salary grids.
Documents and steps
Documents
- Application materials requested by the official vacancy
Steps
Review the official Inria vacancy and requirements.
Prepare the documents requested by the official vacancy.
Submit through the official Inria application route before the deadline.
Sources behind this vacancy
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Published revision history
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Ingénieur CDD en apprentissage profond sur nuages de points
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Programme overview and cycle history