Resilient Infrastructure Systems Analyst jobs in United States
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Lawrence Livermore National Laboratory · 14 hours ago

Resilient Infrastructure Systems Analyst

Lawrence Livermore National Laboratory (LLNL) is a leader in advancing science and technology for U.S. security and global stability. They are seeking highly qualified engineers to join their team of Infrastructure System Resilience Analysts to analyze the resilience of various infrastructure systems to threats and hazards, applying technical depth and critical thinking to provide decision insights and facilitate technology integration.

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badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

Responsibilities

Contribute to and actively participate in the conception, development, implementation, execution, and documentation of well-defined analytical questions and plans to provide decision insights to stakeholders on challenging and ambiguous infrastructure resilience problems of moderate complexity
Participate in and contribute to the development of analytical models, tools, and frameworks to characterize and assess key infrastructure resilience-related issues, such as infrastructure interdependencies, system-level impacts from natural hazards and intelligent adversary attacks, or risks and cost-benefit of various technology or operational solutions
Support team members in the development, evaluation, and application of physical and computational simulations to gain insight into moderately complex infrastructure systems
Utilize broad and comprehensive knowledge and leverage tools from established disciplines such as systems engineering, decision analysis, risk analysis, applied statistics and optimization, or other related fields to contribute to and actively participate in the development of innovative and creative methodologies
Collaborate and share relevant knowledge, analysis, and recommendations with scientists and researchers across a variety of technical disciplines, such as cybersecurity, physical security, natural hazards, and infrastructure systems
Balance multiple projects/tasks and priorities of customers and partners to ensure deadlines are met, while working independently with minimal direction within the scope of the assignment
Communicate moderately complex technical concepts to stakeholders in a concise and effective way
Routinely interact with technical contacts at sponsor and partner organizations
Perform other duties as assigned

Qualification

Model developmentRisk analysisDecision analysisData analyticsStatistical modelingModelingSimulationSystems engineeringPythonMATLABC++Communication skillsProblem-solving skillsLeadership skills

Required

Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship
Master's degree in engineering (mechanical, electrical, industrial, chemical, civil, or systems), computer sciences (data or information science), operations research, or related technical field, or the equivalent combination of education and related experience
Comprehensive knowledge and experience in developing models and/or frameworks to characterize and assess moderately complex infrastructure systems (e.g., electricity grid, transportation networks, supply chain and logistics, chemical processing, oil and natural gas transmission and distribution, communications networks, structural systems) and/or threats and risks to these systems
Comprehensive knowledge and experience with one or more of the following computational disciplines: risk analysis, decision analysis, data analytics, statistical modeling, modeling and simulation, control system design, systems engineering, or other related discipline
Demonstrated experience and comprehensive knowledge in developing, defining, and applying research questions and scoping defensible methods and approaches
Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and author products targeted to a variety of stakeholders
Demonstrated analytical, problem-solving, and decision-making skills to effectively develop creative solutions to moderately complex problems
Ability to travel off-site for sponsor and customer interactions

Preferred

Ph.D. in engineering (mechanical, electrical, industrial, chemical, civil, or systems), computer sciences (data or information science), operations research, or related technical field, or the equivalent combination of education and related experience
Advanced level knowledge in one or more of the following areas: infrastructure systems, energy systems, cyber security, physical security, intelligence analysis, or other related discipline
Significant experience and advanced knowledge in the application and development of one or more of the following areas: risk analysis, systems analysis, decision analysis, data analytics, statistical modeling, modeling and simulation, control system design, systems engineering, or other related discipline
Ability to independently develop and execute complex analyses and to prepare and finalize tailored reports
Significant leadership skills and experience and demonstrated ability to exercise independent judgment to effectively manage diverse technical teams in executing projects
Comprehensive knowledge and broad experience in design, operations, or modeling of infrastructure systems, particularly transportation networks and logistics, chemical processing, water and wastewater systems, communications networks, or interdependencies among these systems
Broad experience in managing multiple concurrent projects
Comprehensive knowledge and broad experience building models and running simulations using one or more of the following programming tools: Python, Simulink, R, MATLAB, Java or C++

Benefits

Flexible Benefits Package
401(k)
Relocation Assistance
Education Reimbursement Program
Flexible schedules (•depending on project needs)

Company

Lawrence Livermore National Laboratory

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Lawrence Livermore National Laboratory, a national security laboratory, provides transformational solutions to national security challenges.

Funding

Current Stage
Late Stage
Total Funding
$11.4M
Key Investors
ARPA-EUS Department of EnergyDARPA
2023-11-21Grant
2023-08-14Grant
2022-09-19Grant

Leadership Team

G
Greg Herweg
Chief Technology Officer
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D
David Shaughnessy
Deputy Chief Financial Officer
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