Computational Scientist
Core
Develop and deploy computational science solutions to optimize energy, chemicals, and lower-emissions technologies by merging physics-based models with data-driven approaches.
Role type
Senior IC computational scientist (physics-informed ML)
Builds
Physics-based simulators, predictive models, and hybrid data-physics solutions for upstream oil and gas operations
Domain
Upstream oil and gas, energy, and chemical engineering
Deliverable
production ML models
Required skills
Physics-based modeling, multiscale/multiphysics mathematical modeling, scientific computing, numerical analysis, C++/C# or Python programming, software engineering best practices, machine learning tools (TensorFlow, PyTorch, Scikit-learn)
Preferred skills
Surrogate modeling, inverse problem-solving, deep learning techniques, upstream oil and gas industry experience
Technologies
TensorFlow, PyTorch, Scikit-learn, C++, C#, Python
Responsibilities
Collaborate with cross-disciplinary teams and academia to accelerate computational science technology development; frame computational challenges from business needs; develop solutions balancing accuracy and runtime; merge physics and data incorporating uncertainty; constrain predictive models with field data
Seniority
Senior, hands-on IC