Advanced Physics Modeling Specialist

1 week ago


Kolhapur, India beBeeMachineLearning Full time

Job OverviewWe are seeking an experienced professional to lead the development and deployment of Graph Neural Network (GNN) based surrogate models that approximate complex physics simulations.This role involves designing and implementing neural network architectures to model flow dynamics in interconnected pipeline networks, creating data pipelines to extract network topology and simulation results from physics-based models, and building surrogate models predicting pressure distributions, flow rates, and network behavior under varying operational scenarios.Key Responsibilities:Create training frameworks incorporating physics constraints into neural network loss functions.Collaborate with petroleum engineers to ensure model predictions align with physical behavior and operational constraints.Mandatory Skills:Expertise in Graph Neural Networks: Strong understanding of GCN, GraphSAGE, and Message Passing Networks.Deep Learning Frameworks: Deep knowledge of PyTorch Geometric, DGL, or TensorFlow GNN.Why This Role?This position offers a unique opportunity to apply advanced machine learning techniques to real-world problems in the field of physics-based modeling. If you are passionate about developing innovative solutions and collaborating with cross-functional teams, we encourage you to apply for this exciting opportunity.



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