Data-Driven Flow Dynamics Specialist

4 days ago


Gandhinagar, India beBeeModeling Full time

Role SummaryA key responsibility of this role is to develop surrogate models that accurately predict pressure distributions, flow rates, and network behavior under varying operational scenarios.The engineer will design and implement neural network architectures to model flow dynamics in interconnected pipeline networks, build data pipelines to extract network topology and simulation results from physics-based models, and develop training frameworks that incorporate physics constraints into neural network loss functions.The ideal candidate should have a strong background in graph theory and network analysis, as well as expertise in Graph Neural Networks and deep learning frameworks.In addition to technical skills, the candidate should be proficient in Python and scientific computing libraries, and have knowledge of hyperparameter tuning, model building, and uncertainty quantification in ML models.Candidates with a background in petroleum engineering, process engineering, or fluid dynamics are also highly valued.


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