- Conduct research in ONG modeling and simulation which helps to characterize local and system level impacts of component faults and disruptions.
- Develop and apply threats and security risks to modeling and simulation scenarios and propose or assess mitigation options.
- Support complex research projects with competing priorities and implement advanced research concepts in a multidisciplinary team environment where dedication and deadlines are important to project success.
- Contribute solutions to complex problems by collaborating with scientists and researchers across a variety of technical disciplines.
- Provide decision insight to stakeholders in complex problem areas.
- Develop, evaluate, and apply physical and computational simulation to gain insight into complex systems.
- Partner with other LLNL scientists and engineers to bring research results to practical use in LLNL national security programs.
- Communicate complex technical concepts to internal stakeholders in a concise and effective way.
- Perform other duties as assigned.
- Balance multiple projects/tasks and priorities of customers and partners to ensure deadlines are met, while working independently with minimal direction within scope of the assignment.
- Lead various complex projects, effectively leveraging the skills of diverse team members.
- Mentor other staff in your technical expertise area.
- Routinely interact with technical contacts at sponsor and partner organizations.
- Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
- Bachelor's degree in engineering (mechanical, electrical, industrial, or civil), computer sciences (data or information science), operations research, related fields or the equivalent combination of education and related experience.
- Knowledge and experience in one or more of the following areas: ONG production, transmission, or distribution modeling and/or simulation; industrial control systems design and operation at ONG facilities.
- Experience with steady-state and dynamic pipeline system modeling tools such as: Synergi Gas, WinFlow, WinTran, PipelineStudio, PIPESIM, PIPE-FLO, or other similar tools.
- Ability to use standard programming languages (e.g., Python, MATLAB/Simulink, C/C++) to support modeling and visualization.
- Sufficient verbal and written communication skills needed to effectively collaborate in a team environment, present and explain technical information, document work, and provide advice to decision makers.
- Demonstrated analytical, problem-solving, and decision-making skills to develop creative solutions to complex problems.
- Comprehensive knowledge and broad experience in the application and development in one or more of the following areas: ONG production, transmission, or distribution modeling and/or simulation; industrial control systems design and operation at ONG facilities.
- Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information to a variety of audiences.
- Master's degree in engineering (mechanical, electrical, industrial, or civil), computer sciences (data or information science), operations research, related fields or the equivalent combination of education and related experience.
- Knowledge of energy sector threats, risks, and security measures.
- Experience working with utilities, system operators, or system integrators.
- Experience deriving and presenting analytical results and insights to non-technical audiences.
- 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
- Our core beliefs - visit
- Employee engagement - visit
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Oil and Natural Gas Systems Analyst - Livermore, United States - Lawrence Livermore National Laboratory
Description
Company DescriptionJoin us and make YOUR mark on the World
Are you interested in joining some of the brightest talent in the world to strengthen the United States' security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.
We are committed to a diverse and equitable workforce with an inclusive culture that values and celebrates the diversity of our people, talents, ideas, experiences, and perspectives. This is important for continued success of the Laboratory's mission.
Pay Range
$110, $142,128.00 Annually for the SES.1 level
$132, $170,556.00 Annually for the SES.2 level
Please note that the pay range information is a general guideline only. Many factors are taken into consideration when setting starting pay including education, experience, the external labor market, and internal equity.
Job DescriptionWe are seeking highly qualified Engineers to join our team to conduct applied research in oil and natural gas (ONG) system modeling and simulation. You will apply skills and knowledge related to ONG production, transmission, and/or distribution systems modeling and simulation and familiarity with industrial control system design and/or operations to analyze threats, risks, and mitigations for infrastructure systems. You will support LLNL's Cyber and Infrastructure Resilience (CIR) program's growing research portfolio in ONG system infrastructure security by building models and running simulations to characterize localized and system-level conditions and impacts under varying conditions. These positions are in the Computational Engineering Division (CED) within the Engineering Directorate.
These positions will be filled at either the SES.1 or SES.2 level based on knowledge and related experience as assessed by the hiring team. Additional job responsibilities (outlined below) will be assigned if hired at the higher level.
You will
Additional job responsibilities, at the SES.2 level
Additional qualifications at the SES.2 level
Qualifications We Desire
#smartjobs
Position Information
This is a Career Indefinite position, open to Lab employees and external candidates.
Why Lawrence Livermore National Laboratory?
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.
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:
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.
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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.