Chercheur Doctorant H/F Multi-Objective Optimization of Maintenance Strategies in the Aeronautical Industry within a Big Data Environment Driven by Heterogeneous and Uncertain Data
Pau, Nouvelle-Aquitaine, France
EUR 37K-37K (estimate) Mid-level Full Time
Tasks
- Account for uncertainty in forecasting models
- Analyze heterogeneous industrial time series data
- Apply machine learning to fault prediction
- Develop predictive maintenance models
- Handle data quality issues including noise and missing values
- Integrate sensor data and maintenance logs
- Optimize equipment energy efficiency
- Perform multi objective optimization for maintenance planning
- Support data driven decision making for maintenance actions
- Train deep learning models for reliability forecasting
Perks/Benefits
- N/A
Skills/Tech-stack
Big Data | Data Processing | Data Quality | Data integration | Data quality analysis | Deep learning | Distributed Computing | Federated Learning | Machine Learning | Multi-Objective Optimization | Objective optimization | Optimization | Pandas | Parallel Computing | PyTorch | Python | Quality analysis | Real Time | Real-time Data | Real-time Data Processing | Scikit-learn | Sensor data | Series analysis | TensorFlow | Time Series | Time Series Analysis | Uncertainty Estimation
Education
Roles
PhD researcher | Research Scientist | Researcher | Scientist
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