Join us and make YOUR mark on the World!

Come join Lawrence Livermore National Laboratory (LLNL) where we apply science and technology to make the world a safer place; now one of 2024 Best Places to Work by Glassdoor!

Pay Range

$11,180 - $16,214 Monthly for the 708.3 level

$13,420 - $23,480 Monthly for the 708.4 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.

We have an opening for a faculty member to engage in a collaborative research and work-study assignment of mutual interest to further their teaching or research goals. You will actively participate in: Bayesian characterization and experimental design, mathematical analysis of low-regularity optimization problems under uncertainty (e.g., expectation constraints, risk measures, problems governed by partial differential equations (PDEs) with state constraints and/or equilibrium constraints) and scalable numerical algorithms for such problems, or multiscale time-stepping methods for PDEs as well as scalable numerical algorithms for such problems. This position is in the Center for Applied Scientific Computer within the Computing Directorate

In this role, you will

- Perform advanced research in at least one of the following areas: in Bayesian characterization and experimental design, optimization under uncertainty with non-differentiable risk objectives and expectation constraints, analysis of PDE-constrained optimization with state and equilibrium constraints, or scalable second-order optimization methods for problems in function spaces.

- Independently determine research objectives and criteria to satisfy project achievements and execute the appropriate technical approaches.

- Collaborate with technical area leaders, project leaders, and program management to enable the transfer of the theoretical developments in the application areas and identify and document potential roadblocks in this transfer.

- Gather and analyze the data in support of scientific research.

- Participate in research planning and evaluation discussions.
- Participate in activities as appropriate to provide exposure to the Laboratory Scholar Engagement and Education Plan (SEEP).

- Perform other duties as assigned.

- Ph.D. degree in mathematics or a related field or the equivalent combination of education and related experience.

- Must be a continuing faculty at an accredited institution.

- Experience with scientific computing.

- Advanced knowledge of the theory of equilibrium/complementarity systems and associated numerical algorithms for the simulation of such systems.

- Significant experience conducting research in optimization under uncertainty.

- Significant experience with mathematical modeling of differential systems and optimization problems with equilibrium constraints.

- Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information.

- Experience working with personal computers and familiarity with Word, Excel, and PowerPoint.

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

Position Information

This is a Temporary Faculty Scholar appointment.

Why Lawrence Livermore National Laboratory?

• Holiday Pay
• Sick leave accrual
• Individual 401(k) contributions

Security Clearance

None required.However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check. (This process does not apply to foreign nationals.)

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.

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 to submit a request.

CaliforniaPrivacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitlesjob 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 .

Position Information

This is a Temporary Faculty Scholar appointment.

Why Lawrence Livermore National Laboratory?

• Included in 2024 Best Places to Work by Glassdoor!
• Holiday Pay
• Sick leave accrual
• Individual 401(k) contributions
• Inclusion, Diversity, Equity and Accountability (IDEA) - visit
• Our core beliefs - visit
• Employee engagement - visit

Security Clearance

None required.However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check. (This process does not apply to foreign nationals.)

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 to submit a request.

CaliforniaPrivacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitlesjob 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 .