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Mathematical Physics Research Scientist
2 months ago
Join our Team at Lawrence Livermore National Laboratory (LLNL)
Are you looking to be part of a team of brilliant minds dedicated to enhancing the security of the United States? At LLNL, our employees leverage their skills to develop innovative solutions that have a positive impact on our world.
We are strongly committed to fostering a diverse and inclusive workforce that values the unique contributions of our people, their talents, and their diverse experiences. This commitment is crucial for the ongoing success of our mission.
Competitive Pay Ranges
Annual salaries ranging from $159,330 to $204,636 for the SES.3 level and from $191,220 to $245,544 for the SES.4 level illustrate our commitment to fair compensation.
Job Description
We have exciting opportunities for Mathematical Physics Research Scientists to join a dynamic team engaged in decision support research across various mission areas. In this role, you will delve into data modeling, machine learning foundations, optimal control, and computational methods for scientific and national security applications. This position is within the Physics Division/Applied Physics Section in the Astronomy and Astrophysics Analytics Group.
Successful candidates will be hired at either the SES.3 or SES.4 level based on their knowledge and experience. Additional responsibilities (detailed below) will be assigned to those hired at the higher level.
Key Responsibilities
- Apply mathematical and computational techniques to advance scientific and national security missions.
- Conduct analytical and statistical modeling, numerical analysis, signal processing, computer simulations, and data visualization.
- Utilize various computing architectures, including high-performance computing systems, for project implementation.
- Engage in self-driven research, stay abreast of technical advancements in specific areas, publish research in reputable journals, and present findings at conferences and technical meetings.
- Collaborate within interdisciplinary teams of scientists and engineers to meet mission-driven objectives within specified timelines.
- Carry out additional assigned duties.
Additional Responsibilities at SES.4 Level
- Initiate and lead new research projects leveraging scientific expertise, secure external funding, and contribute to program development.
- Drive the creation of novel mathematical, statistical, and computational models to achieve project objectives.
- Provide project updates and briefings to sponsors, LLNL visitors, and senior management.
- Effectively oversee and deliver impactful contributions across multiple technical projects involving various lab organizations.
- Mentor students, postdocs, and junior staff in research and technical proficiencies.
Qualifications
- Hold or be able to obtain a U.S. DOE Q-level security clearance, requiring U.S. citizenship.
- Possess a PhD in Physics, Mathematics, or a related field, or a comparable combination of education and relevant experience.
- Demonstrate expertise in research areas such as theoretical cosmology, statistical physics, computational modeling, high-performance computing, or signal processing.
- Show the ability to conduct independent research, innovate solutions, and achieve significant results in complex scientific problems.
- Exhibit advanced communication skills to work effectively in diverse teams, publish technical papers, and deliver scientific presentations.
- Present strong interpersonal skills to interact with professionals from various backgrounds.
Additional Qualifications at the SES.4 Level
- Proven experience in leading scientific research projects, securing research funding, and developing innovative solutions demonstrated through publications or past projects.
- Ability to manage multiple projects simultaneously, engage with sponsors, visitors, and senior management effectively.
- Experience in recruiting and guiding students, postdocs, or staff members.
Preferred Qualifications
- Leadership experience in organizing scientific research teams, including software management and communication.
- Background in nonlinear dynamical systems research.
- Skill in effectively communicating scientific and technical findings to a broad audience.
- Experience within the U.S. national security landscape.
About the Position
This Career Indefinite position is open to both Lab employees and external candidates, providing an opportunity for growth and collaboration.
Why Choose Lawrence Livermore National Laboratory?
- Included in Glassdoor's 2024 Best Places to Work list
- Comprehensive Benefits Package
- Retirement Savings Plan (401(k))
- Support for Relocation
- Education Assistance Program
- Flexible Work Schedules (based on project needs)
- Strong Emphasis on Inclusion, Diversity, Equity, and Accountability (IDEA)
Security Clearance Requirements
This role mandates a Department of Energy (DOE) Q-level clearance, emphasizing our commitment to national security. Applicants must undergo a thorough background check to assess eligibility for access to classified information. Note that Q-cleared employees are subject to random drug screenings as per our guidelines.
Pre-Employment Screening
External candidates selected for this position will be required to pass a pre-employment drug test, including screening for marijuana use in compliance with Federal regulations.
Avoiding Scams
Beware of fraudulent job postings misusing the Lawrence Livermore National Laboratory (LLNL) name. We conduct all recruitment ethically, never extending offers without personal interviews or charging any fees for employment. Legitimate job openings are always posted on our Career Page on the company website. If you encounter suspicious job offers, we advise against responding.
Equal Opportunity Employer
We are dedicated to providing an inclusive and discrimination-free work environment. All qualified applicants will be considered for employment regardless of race, color, religion, marital status, national origin, gender identity, disability, pregnancy, veteran status, age, citizenship, or any other legally protected characteristic.
For more information on our Equal Employment Opportunity policies, please refer to the EEO is the Law and Pay Transparency Nondiscrimination Provision.
Assistance and Privacy Rights
We strive to offer an accessible and inclusive application process. Candidates needing accommodations during application or interviews can request assistance using our online form.
Privacy Notice
The California Consumer Privacy Act (CCPA) grants privacy rights to California residents, extending to job applicants, employees, and non-employee workers. Access LLNL's Employee Privacy Notice for details on data collection and usage.
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