AI Innovator & Reservoir Simulation Expert At our innovation lab, we're dedicated to harnessing the power of artificial intelligence and machine learning to transform reservoir simulation. We're seeking a talented individual with expertise in physics-informed neural networks (PINNs), Fourier neural operators (FNOs), and deep reinforcement learning (DRL) for reservoir and CFD applications. If you have a Master's or PhD focused on these areas, we'd love to hear from you. Key Responsibilities: - Simulation Integration: - Design and implement PINN-based solvers, FNO surrogates, or other models to accelerate reservoir simulation and optimize subsurface workflows. - Integrate your models into our simulation pipeline, ensuring numerical stability and scientific rigor. - ML Data Pipeline Engineering: - Build scalable data pipelines for large-scale geological and production datasets. - Containerize and deploy inference services, wrapping PINN/FNO models with robust APIs. - Strategic Roadmap Development: - Collaborate with domain experts to define a multi-year ML/AI strategy for reservoir simulation. - Identify key research areas and drive prototyping of next-generation ML solvers. - Early-Stage Research & Delivery: - Lead R&D; projects—from literature review and algorithm design through hands-on implementation and performance benchmarking. - Validate model accuracy against high-fidelity simulators and real field data. - Cross-Functional Collaboration: - Pair with software engineers to productionize algorithms under clean-architecture and CI/CD best practices. - Present findings, trade-offs, and performance metrics to stakeholders in product and subsurface teams. If you're passionate about leveraging AI and ML to drive innovation and problem-solving, please submit your application.