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 @ CESI

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 at CESI. Location: Pau, Nouvelle-Aquitaine, France. Role: developing models, optimizing maintenance, validating approaches Requirements: Master's or engineering degree in CS/AI/data science/big data; strong math, statistics, optimization; ML/DL (PyTorch/TensorFlow) and Python (pandas, scikit-learn) skills; experience with time series, big data, distributed architectures; scientific English. Category: Research and Development (R&D) Seniority: Mid Level Tools: PyTorch, TensorFlow, Python, pandas, scikit-learn, LSTM Commitment: Full Time, Contract Workplace: Hybrid Languages: English