Resilience Systems Analyst

3 days ago

Livermore, California, United States Lawrence Livermore National Laboratory Full time
Job Description

We are seeking highly qualified engineers to join our interdisciplinary team of Systems Analysts supporting analysis of the resilience of a variety of infrastructure systems to cyber, physical, and natural threats and hazards.

Key Responsibilities
  • Leverage expertise to develop well-defined analytical questions and plans to provide decision insights to stakeholders on complex, challenging, and ambiguous infrastructure resilience problems.
  • Lead teams to develop, evaluate, and apply novel analytical models, tools, and frameworks to characterize and assess key infrastructure resilience-related issues.
  • Lead diverse teams of scientists and researchers from a variety of technical disciplines, such as cybersecurity, physical security, natural hazards, and infrastructure systems.
  • Develop opportunities to operationalize research and development advancements for LLNL national security programs.
  • Communicate complex technical concepts to internal and external stakeholders in a concise and effective way.
  • Serve as point of contact for program managers at sponsor and partner organizations.
Requirements
  • PhD in engineering (mechanical, electrical, industrial, chemical, civil, or systems), computer sciences (data or information science), operations research, or related fields, or the equivalent combination of education and related experience.
  • Expertise in one or more of the following areas: infrastructure systems, energy systems, cyber security, physical security, intelligence analysis, or other related discipline.
  • Advanced experience in developing models and/or frameworks to characterize and assess complex infrastructure systems and/or threats and risks to these systems.
  • Advanced analytical, problem-solving, and decision-making skills to develop creative solutions to complex problems.
  • Advanced experience presenting technical concepts to diverse audiences.
Preferred Qualifications
  • Significant experience with one or more of the following computational disciplines: risk analysis, systems analysis, decision analysis, data analytics, statistical modeling, modeling and simulation, control system design, systems engineering, or other related discipline.
  • Significant experience in defining, scoping, and executing analytical plans to address complex research or programmatic questions.
  • Significant experience effectively managing concurrent technical tasks with competing priorities and implementing advanced research concepts in a multi-disciplinary team environment.
Why Lawrence Livermore National Laboratory?
  • Included in 2024 Best Places to Work by Glassdoor
  • Flexible Benefits Package
  • 401(k)
  • Relocation Assistance
  • Education Reimbursement Program
  • Flexible schedules (*depending on project needs)

This is a Career Indefinite position, open to Lab employees and external candidates.

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