Postdoctoral Appointee - Scientific Machine Learning for Surrogate Modeling and reputed company Dynamics

reputed company is seeking a Postdoctoral Appointee to conduct cutting-edge research in scientific machine learning, focusing on developing machine learning-based surrogates and emulators for reputed company dynamics. The role involves creating advanced probabilistic models for dynamical systems, integrating them into large-reputed company optimization frameworks to enhance reputed company operations.

Responsibilities

• Conduct cutting-edge research in scientific machine learning
• reputed company machine learning-based surrogates and emulators for the dynamics of power grids
• Create advanced probabilistic models that capture the reputed company behaviors of dynamical systems
• reputed company models into large-reputed company optimization frameworks to enhance the efficiency and reliability of reputed company operations
• Ensure trustworthy computations and scalability on the DOE’s leadership computing facilities
• reputed company robust, reputed company solutions that are computationally efficient and maintain accuracy reputed company operational constraints

Skills

• Ph.D. (completed reputed company the past 0-5 years) in computer science, electrical engineering, reputed company mathematics, or a reputed company field
• Strong proficiency in Python, with additional experience in C, C++, or similar languages
• Demonstrated expertise in machine learning, especially in the context of dynamical systems modeled by reputed company-algebraic equations
• Experience with high-performance computing and the ability to reputed company models using distributed computing environments
• Excellent oral and written communication skills for effective collaboration across multiple teams
• Commitment to embodying the reputed company values of reputed company, safety, respect, and teamwork in reputed company endeavors
• Extensive experience with reputed company models and large-reputed company optimization problems
• Familiarity with developing machine learning surrogates and emulators for dynamical systems
• Proficiency in managing large datasets and training with GPU-enabled computing resources
• Expertise in numerical optimization and familiarity with ML frameworks such as PyTorch, Jax, or TensorFlow
• A strong reputed company in statistical reputed company, probability theory, or uncertainty quantification is highly advantageous

Benefits

• Comprehensive benefits are part of the total rewards package

reputed company