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Uncertainty Quantification Jobs (NOW HIRING)

Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...

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How much do uncertainty quantification jobs pay per year?

As of Jun 1, 2026, the average yearly pay for uncertainty quantification in the United States is $69,454.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $83,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Uncertainty Quantification Specialist, and why are they important?

To thrive as an Uncertainty Quantification Specialist, you need a strong background in applied mathematics, statistics, and computational modeling, often supported by an advanced degree in a quantitative field. Familiarity with programming languages such as Python or MATLAB, and experience with simulation tools and statistical analysis software, are typically required. Strong problem-solving skills, attention to detail, and effective communication help professionals convey complex concepts to interdisciplinary teams. These skills are crucial for accurately assessing risks, making data-driven decisions, and improving the reliability of models in engineering, finance, or scientific research.

What are some common challenges faced by professionals in Uncertainty Quantification when working on multidisciplinary teams?

Professionals in Uncertainty Quantification (UQ) often collaborate with experts from fields like engineering, data science, and physics. A common challenge is communicating complex statistical concepts in an accessible way to team members without a quantitative background. Additionally, integrating uncertainty models into existing workflows and ensuring that all stakeholders understand how uncertainty impacts decision-making can be demanding. Effective UQ professionals are proactive in facilitating clear communication and tailoring their approach to fit the needs of diverse teams.

What is Uncertainty Quantification?

Uncertainty Quantification (UQ) is the science of quantifying, managing, and reducing uncertainties in computational models and real-world systems. It involves identifying sources of uncertainty in data, model parameters, and algorithms, then using statistical and mathematical methods to assess their impact on model predictions. UQ is essential in fields like engineering, finance, and environmental science to ensure that predictions and decisions are robust and reliable. Practitioners use techniques such as sensitivity analysis, probabilistic modeling, and Monte Carlo simulations to quantify and analyze uncertainties.

What is the difference between Uncertainty Quantification vs Data Scientist?

AspectUncertainty QuantificationData Scientist
Required credentialsAdvanced degrees in engineering, mathematics, or statisticsDegree in computer science, statistics, or related fields
Work environmentResearch labs, engineering firms, simulation-based industriesTech companies, finance, healthcare, and marketing
Industry usageEngineering, aerospace, manufacturing, scientific researchBusiness analytics, product development, predictive modeling

Uncertainty Quantification focuses on assessing and reducing uncertainty in models and simulations, often requiring advanced mathematical skills. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles involve statistics and data analysis, Uncertainty Quantification is more specialized in modeling uncertainties in engineering and scientific contexts, whereas Data Scientists work across diverse industries with a broader focus on data-driven insights.

More about Uncertainty Quantification jobs
What cities are hiring for Uncertainty Quantification jobs? Cities with the most Uncertainty Quantification job openings:
What states have the most Uncertainty Quantification jobs? States with the most job openings for Uncertainty Quantification jobs include:
Verification, Validation and Uncertainty Quantification Postdoc

Verification, Validation and Uncertainty Quantification Postdoc

Los Alamos National Laboratory

Los Alamos, NM • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Los Alamos National Laboratory rating

9.2

Company rating: 9.2 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

7th of 103 rated laboratories


Job description

Description
Job Title Verification, Validation and Uncertainty Quantification Postdoc
Location Los Alamos, NM, US
Organization Name Verification and Analysis/XCP-8
Minimum Salary
Maximum Salary
What You Will Do
Are you ready to begin a career assessing predictive confidence of computational physics codes? If so, we encourage you to learn more about our Postdoctoral Research Associate openings in the Computational Physics: Verification & Analysis group (XCP-8) at the Los Alamos National Laboratory (LANL). We are looking for several highly motivated post-doctoral candidates in the areas of verification, validation (V&V) and uncertainty quantification (UQ). In this role you will apply analysis methods, including V&V, UQ, Automatic Differentiation, and/or surrogate models to assess computational physics simulations of materials under extreme conditions. A background in a relevant field of physics is preferred (e.g. hydrodynamics, fluid dynamics, shock physics, turbulence, solid mechanics, material strength, material failure, plasma physics, radiation transport, and/or magnetohydrodynamics). You will have the opportunity to publish results in peer-reviewed journals and present at top tier conferences.
What You Need
Minimum Job Requirements:

Technical Background
A background in computational physics in a relevant or closely related field, e.g. hydrodynamics, plasma physics, shock physics, fluid mechanics, solid mechanics, and/or material dynamics and advanced analysis of simulations, including but not limited to verification, validation, uncertainty quantification, sensitivity analysis, optimization, inverse problems or a closely related focus area.
Numerical Modeling and Simulation
Demonstrated experience in development, setup, execution, and/or postprocessing of numerical models and simulations. You will need the ability to run export-controlled codes which generally requires US Citizenship or Permanent Residency.
Research Expertise
You will need to have conducted high level research in one or more of the following areas: simulation, verification, validation, uncertainty quantification, sensitivity analysis, optimization, inverse problems or a closely related focus area.
Programming
For this role you will need to be familiar with at least one of: Fortran, C++ and/or Python. Alternately experience programming in Matlab and R may be substituted.
Journals/Conferences
You will need to show that you have the ability to publish research in peer-reviewed journals or conference proceedings, communicate research to an interdisciplinary audience and work on an interdisciplinary team. This should be demonstrated by being the first author, or among a small set of co-authors, on at least one paper published, or accepted for publication, in a peer reviewed journal or in a major peer reviewed conference proceedings.
Education/Experience : PhD in mathematics, physics, materials science, chemistry, engineering, statistics or a closely related discipline. The candidate must be within 5 years of completion of PhD at time of being proposed for review by the committee, or will have completed all PhD requirements by commencement of the appointment.
Desired Qualifications:
  • Experience working with both numerical modeling and experimentation .
  • Familiarity using High Performance Computing clusters.
  • Experience with one or more of these subject areas: radiation transport, high-energy-density physics, equations-of-state, shock physics, high explosive modeling, material failure, material strength under high strain rates, magnetohydrodynamics.
  • Proficient with software engineering tools like: version control systems; web-based software repository systems; issue trackers; online collaboration platforms ; and continuous integration systems.

Note to Applicants:
To be considered for the position, applicants should submit a CV/resume and a detailed cover letter addressing how their experience relates to each of the required and desired skills as applicable. Regular post-doctoral appointments are for two years and are renewable for a third year. Outstanding candidates may be eligible for a LANL Director's Fellowship. For specific inquiries regarding the position, please contact Dr. Brandon Wilson (bwilson@lanl.gov).
Work Location : The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.
Note to Applicants:
Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.
Where You Will Work
Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:
§ PPO or High Deductible medical insurance with the same large nationwide network
§ Dental and vision insurance
§ Free basic life and disability insurance
§ Paid childbirth and parental leave
§ Award-winning 401(k) (6% matching plus 3.5% annually)
§ Learning opportunities and tuition assistance
§ Flexible schedules and time off (PTO and holidays)
§ Onsite gyms and wellness programs
§ Extensive relocation packages (outside a 50 mile radius)
Additional Details
Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2 . Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
Clearance : Q (Position will be cleared to this level). Selected applicants will be subject to a background investigation conducted by or on behalf of the Federal Government, and must meet eligibility requirements* for access to classified matter. This position requires a Q clearance. and obtaining such clearance requires US Citizenship except in extremely rare circumstances. Dependent upon the position, additional authorization to access classified information may be required, which may or may not be available to dual citizens. Receipt of a Q clearance and additional access authorization ultimately is a decision of the Federal Government and not of Triad.
*Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.
New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 for applicant eligibility requirements.
Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call (505)-664-6947.
Employment Status Full Time
Appointment Type Postdoc
Postdoc

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