Resilient Infrastructure Systems Analyst

We are seeking highly qualified engineers to join our interdisciplinary team of Infrastructure System Resilience Analysts supporting analysis of the resilience of a variety of infrastructure systems to cyber, physical, and natural threats and hazards. You will apply a combination of technical depth and breadth, critical thinking, modeling and simulation, and analysis to understand complex, multi-domain problem areas and provide decision insight, communicate options and trade-offs, and facilitate the integration of new technology in support of customer missions. Resilient Infrastructure Systems Analysts often serve to integrate across research and development teams and work directly with operational organizations. These positions are in the Computational Engineering Division (CED), within the Engineering Directorate.

You will

• Develop well-defined analytical questions and plans to provide decision insights to stakeholders on complex, challenging, and ambiguous infrastructure resilience problems.
• Develop 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.
• Develop, evaluate, and apply physical and computational simulations to gain insight into complex infrastructure systems.
• Develop innovative and creative methods that leverage tools from a breadth of established disciplines such as systems engineering, decision analysis, risk analysis, applied statistics and optimization, and other related fields.
• Collaborate 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 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.

• Ability to obtain 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 fields, or the equivalent combination of education and related experience.
• Comprehensive knowledge and broad experience in developing models and/or frameworks to characterize and assess 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 broad experience in defining research questions and scoping defensible methods and approaches.
• Broad experience presenting technical concepts to diverse audiences. 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.
• Comprehensive knowledge and broad 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.
• Broadly demonstrated analytical, problem-solving, and decision-making skills to develop creative solutions to complex problems.
• Ability to travel off-site for sponsor and customer interaction.

Qualifications We Desire

• PhD in engineering (mechanical, electrical, industrial, chemical, civil, or systems), computer sciences (data or information science), operations research, or related fields.
• 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.
• 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++.

All your information will be kept confidential according to EEO guidelines.

Position Information

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

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)
• Inclusion, Diversity, Equity and Accountability (IDEA) - visit https://www.llnl.gov/diversity
• Our core beliefs - visit https://www.llnl.gov/diversity/our-values 
• Employee engagement - visit https://www.llnl.gov/diversity/employee-engagement

Security Clearance

This position requires a Department of Energy (DOE) Q-level clearance.  If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing.  Q-level clearance requires U.S. citizenship. 

Pre-Employment Drug Test

External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.

Wireless and Medical Devices

Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession.  This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.  

If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas.  Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.

How to identify fake job advertisements

Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.

To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf

Equal Employment Opportunity

We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.

We invite you to review the Equal Employment Opportunity posters which include EEO is the Law and Pay Transparency Nondiscrimination Provision.

Reasonable Accommodation

Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory.  If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request. 

California Privacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.