Senior Physics-Informed Modeling Specialist

2 weeks ago

kurnool, India beBeeMachineLearning Full time

Physics-Informed ModelerWe seek an experienced Physics-Informed Modeler to create high-fidelity neural network models for complex engineering simulations.This is a hands-on role for someone who can develop and deploy Graph Neural Network (GNN) based surrogate models that approximate computationally expensive physics simulations for oil & gas pipeline and well networks.The ideal candidate should have:Strong expertise in Graph Neural Networks (GCN, GraphSAGE, Message Passing Networks) with proven implementation experienceDeep understanding of deep learning frameworks (PyTorch Geometric, DGL, or TensorFlow GNN)Experience building surrogate models or physics-informed neural networks (PINNs) for engineering applicationsProficiency in Python and scientific computing libraries (NumPy, SciPy, Pandas)The selected candidate will work closely with petroleum engineers to ensure model predictions align with physical behavior and operational constraints. They will also be responsible for implementing model monitoring, validation, and continuous improvement workflows.As a key member of our team, you will play a crucial role in driving innovation and excellence in our modeling capabilities.

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