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Uncertainty Quantification Jobs in Texas (NOW HIRING)

METECS

Terramechanics Engineer

Houston, TX · On-site

Conduct uncertainty quantification, sensitivity analyses, and model calibration to assess prediction robustness. * Collaborate with multidisciplinary teams to interpret results, communicate model ...

ExxonMobil

2026USH Geology Specialist

Spring, TX

Research, evaluate, and apply emerging technologies including machine learning, artificial intelligence, automation, and uncertainty quantification to subsurface modeling challenges. * Design ...

ExxonMobil

2026USH Geology Specialist

Spring, TX · On-site

Research, evaluate, and apply emerging technologies including machine learning, artificial intelligence, automation, and uncertainty quantification to subsurface modeling challenges. * Design ...

Exxon Mobil

2026USH Geology Specialist

Spring, TX · On-site

$90 - $130/hr

Research, evaluate, and apply emerging technologies including machine learning, artificial intelligence, automation, and uncertainty quantification to subsurface modeling challenges. * Design ...

ExxonMobil

2026USH Geology Specialist

Spring, TX · On-site

Research, evaluate, and apply emerging technologies including machine learning, artificial intelligence, automation, and uncertainty quantification to subsurface modeling challenges. * Design ...

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX · On-site

$46K - $63K/yr

... and uncertainty quantification. The fellow will have opportunities to contribute to ongoing research projects and will be encouraged to explore and develop new areas of research interest with ...

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX

$46K - $63K/yr

... and uncertainty quantification. The fellow will have opportunities to contribute to ongoing research projects and will be encouraged to explore and develop new areas of research interest with ...

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX · On-site

$46K - $63K/yr

... and uncertainty quantification. The fellow will have opportunities to contribute to ongoing research projects and will be encouraged to explore and develop new areas of research interest with ...

Koch Industries

Machine Learning Engineer

Austin, TX · On-site

$170K - $250K/yr

Familiarity with uncertainty quantification (Bayesian approaches, ensembling). What Will Put You Ahead * Direct experience with industry-standard EM or physics simulation tools. * Geometric deep ...

Apple

Data Scientist, AI/ML Model Quality

Austin, TX · On-site

Familiarity with confidence calibration techniques and uncertainty quantification. Experience with ML monitoring or observability platforms (e.g., MLflow, Weights & Biases, or equivalent). Experience ...

Apple

Data Scientist, AI/ML Model Quality

Austin, TX

$142K - $263K/yr

Familiarity with confidence calibration techniques and uncertainty quantification. Experience with ML monitoring or observability platforms (e.g., MLflow, Weights & Biases, or equivalent). Experience ...

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Uncertainty Quantification information

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 are the key skills and qualifications needed to thrive as an uncertainty quantification specialist?

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 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.

What are popular job titles related to Uncertainty Quantification jobs in Texas?

For Uncertainty Quantification jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Uncertainty Quantification jobs in Texas look for?

The top searched job categories for Uncertainty Quantification jobs in Texas are:

Uncertainty Quantification jobs near you
Infographic showing various Uncertainty Quantification job openings in Texas as of August 2026, with employment types broken down into 76% Full Time, 22% Part Time, and 2% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution.

Terramechanics Engineer

METECS

Houston, TX • On-site

Full-time

Re-posted 14 days ago

Job description

METECS is seeking a Terramechanics Engineer who is excited about lunar exploration to support high-fidelity modeling and simulation of lunar terrain. This role emphasizes physics-based approaches to soil structure interaction, ranging from continuum and discrete element methods to semi-empirical terramechanics models. This position also includes the use of multi-body dynamics and simulation frameworks for analysis, design, and validation.
The ideal candidate brings a strong grounding in classical terramechanics and an interest in advancing higher-fidelity modeling approaches to soil-structure interaction in extreme environments. We are looking for someone who is driven, curious, and motivated to contribute directly to the technologies that will support sustained human presence on the lunar surface.
Responsibilities:
  • Develop, implement, and apply terrain and soil interaction models within coupled multi-body dynamics simulations.
  • Work with higher-fidelity modeling approaches such as continuum mechanics (e.g., SPH-based methods) and/or discrete element method (DEM) simulations to model granular and deformable terrain behavior.
  • Maintain and apply semi-empirical terramechanics models (e.g., Bekker-type formulations) as baselines, validation references, or computationally efficient tools.
  • Extend terrain interaction models to support deformable or conformable contact elements, including tires or other compliant structures.
  • Integrate soil and contact models into simulation frameworks and workflows, including NASA's Trick environment or similar tools.
  • Perform simulation validation through comparison with experimental data, test results, or field measurements.
  • Conduct uncertainty quantification, sensitivity analyses, and model calibration to assess prediction robustness.
  • Collaborate with multidisciplinary teams to interpret results, communicate model assumptions and limitations, and inform system-level decisions.

Required Qualifications:
  • Master's or advanced degree in mechanical engineering, aerospace engineering, applied physics, or a closely related technical field.
  • Working knowledge of foundational terramechanics principles, including Bekker-type soil-vehicle interaction theories.
  • Proficiency in C/C++ and Python for scientific computing, simulation development, and analysis.
  • Strong data-analysis skills, including experience working with simulation and experimental datasets.
  • Experience developing or applying physics-based models within a simulation environment.
  • Clear technical communication and documentation skills.

Desired Qualifications:
  • Experience with continuum mechanics-based modeling approaches (e.g., SPH or related methods).
  • Experience with discrete element method (DEM) simulations or granular material modeling.
  • Familiarity with deformable or compliant contact modeling (e.g., tires, tracks, or soft structures).
  • Familiarity with NASA's Trick simulation framework or similar simulation infrastructures.
  • Experience with coupled multi-body dynamics and soil-terrain interaction simulations.
  • Background in simulation validation, uncertainty quantification, or model verification.
  • Experience in aerospace, robotics, off-road vehicle dynamics, or related terrain-interaction domains.

Citizenship or lawful permanent resident required due to federal position.
About METECS:
We are a high-performance team providing advanced engineering, software, and analysis solutions for human space flight and terrestrial applications. We develop and integrate custom software for NASA and other government and commercial customers utilizing a wide variety of in-house, commercial, and open-source technologies. Our specialties include robotics automation, embedded systems, hardware/software integration, multibody dynamics simulations, immersive computer graphics, XR systems and advanced web-based tools.
METECS is an Equal Opportunity Employer, including veterans and individuals with disabilities.

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