Research Scientist

• Conduct basic and applied research in machine learning, deep learning, generative artificial intelligence, large language models, and physics-based machine learning
• Develop and evaluate advanced computational methods for Navy-relevant scientific, engineering, acoustic, and decision-support challenges
• Focus on underwater acoustics and acoustic propagation, with applications in wave physics, signal processing, and related computational-physics domains
• Develop rapid machine-learning surrogate models for computationally demanding physics models while preserving decision-relevant fidelity
• Collaborate with acousticians, physicists, engineers, materials scientists, computer scientists, and other subject-matter experts
• Develop, evaluate, and implement physics-informed neural networks, neural operators, surrogate models, hybrid physics-machine-learning approaches, and generative models
• Design and execute controlled experiments to train, test, and evaluate machine-learning models
• Assess model accuracy, robustness, reliability, physics consistency, and generalization to conditions not represented in training data
• Develop accelerated computational approaches that reduce the cost of full-physics simulations while maintaining fidelity to decision-relevant outputs
• Translate physics and engineering requirements into machine-learning approaches, data representations, performance metrics, and validation protocols
• Develop and maintain reproducible research software, technical documentation, and experimental records
• Analyze quantitative results, identify model limitations and uncertainty, and communicate conclusions through reports, publications, briefings, and presentations

Explore AI/Machine Learning Research Scientist – Undersea Acoustics,… at Peraton. Review requirements and application details.

Research Scientist jobs in Mississippi

AI/Machine Learning Research Scientist – Undersea Acoustics, Physics-Based Modeling