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Los Alamos National Laboratory · 2 weeks ago

Model-Based Systems Engineering and Artificial Intelligence Postdoctoral Researcher

Los Alamos, NM

Full-time

Onsite

Senior Level

$97K/yr - $97K/yr

Los Alamos National Laboratory (LANL) is a multidisciplinary research institution dedicated to advancing science and engineering in support of national security. As a postdoctoral researcher in the Engineering Division's Modern Manufacturing Methodologies Group, you will enhance and validate model-based systems engineering (MBSE) models to advance artificial intelligence (AI) analysis capabilities within cutting-edge manufacturing frameworks.

Security

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Contribute to a cross-disciplinary R&D effort focused on developing innovative solutions to complex technical challenges

Enhance and validate model-based systems engineering (MBSE) models to advance artificial intelligence (AI) analysis capabilities within cutting-edge manufacturing frameworks

Collaborate closely with experts across LANL who bring exceptional breadth and depth of knowledge in engineering, mathematics, statistics, and computational science

Qualification

Model-Based Systems EngineeringArtificial Intelligence DevelopmentComputer-Aided Design (CAD)Software Programming LanguageMachine LearningCollaborative ResearchInterdisciplinary ProjectsPublication RecordBig Data Familiarity

Required

Strong understanding of computer-aided design (CAD) modeling to support the development of large language models (LLMs) capable of generating corrective design suggestions

Demonstrated proficiency in at least one software programming language applicable to artificial intelligence (AI) development or model-based systems engineering (MBSE) tools

Proven ability to work collaboratively and communicate effectively within a diverse, multidisciplinary research team

Self-motivated and independent researcher with a track record of contributing to interdisciplinary projects that integrate multiple areas of expertise

Doctoral Degree (Ph.D.) in Industrial engineering, Nuclear Engineering, Computer Engineering, Mathematics, or a related STEM field of engineering, math, or physics

Preferred

Proven record of technical achievement, demonstrated through publications, reports, intellectual property, and/or developed technical products

Strong publication record in peer-reviewed journals and a demonstrated history of conducting successful, collaborative research within interdisciplinary teams

Experience developing AI applications, including design, training, or implementation of machine learning or language models

Familiarity with large ('big') datasets and working knowledge of model-based systems engineering (MBSE) tools and methodologies