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Mathematical Modeling Postdoc Jobs (NOW HIRING)

Postdoctoral Fellow, Anesthesiology

Galveston, TX · On-site

$46K - $62K/yr

The postdoctoral fellow will conduct, report and present research in his/her field of study under ... mathematical modeling, and tracer kinetics * Creative and systematic approach to complex problem ...

Postdoctoral Fellow, Anesthesiology

Galveston, TX · On-site

$46K - $62K/yr

The postdoctoral fellow will conduct, report and present research in his/her field of study under ... mathematical modeling, and tracer kinetics * Creative and systematic approach to complex problem ...

Showing results 41-60

Mathematical Modeling Postdoc information

What is the difference between Mathematical Modeling Postdoc vs Data Scientist?

AspectMathematical Modeling PostdocData Scientist
Required CredentialsPhD in Mathematics, Applied Mathematics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; PhD preferred
Work EnvironmentAcademic research institutions, universities, research labsCorporate, tech companies, startups, or consulting firms
Industry UsageResearch projects, academic publications, grant-funded studiesBusiness analytics, product development, data-driven decision making
Common Search & ComparisonYesYes

While both roles involve analytical skills and data handling, Mathematical Modeling Postdocs focus on academic research and developing theoretical models, whereas Data Scientists apply data analysis techniques to solve practical business problems. The choice depends on whether you prefer research-oriented work or industry applications.

What does a Mathematical Modeling Postdoc do?

A Mathematical Modeling Postdoc conducts advanced research using mathematical techniques to analyze and solve complex real-world problems in fields such as biology, engineering, physics, or social sciences. They typically develop and apply mathematical models, run simulations, analyze data, and interpret results to support scientific or industrial projects. Postdocs in this role often collaborate with interdisciplinary teams, publish research findings, and may also assist in mentoring students or contributing to grant proposals.

What are some common challenges faced by Mathematical Modeling Postdocs when transitioning from academic research to collaborative industry projects?

Mathematical Modeling Postdocs often encounter challenges when moving from academic research to industry settings, particularly in adapting to faster-paced timelines and working within interdisciplinary teams. In industry, projects may require quick prototyping and the ability to communicate complex mathematical concepts to non-experts, such as engineers or business stakeholders. Building effective collaborations and aligning research goals with organizational objectives can also be a significant adjustment. However, these challenges provide valuable experience and broaden career prospects in both academia and industry.

What are the key skills and qualifications needed to thrive as a Mathematical Modeling Postdoc, and why are they important?

A Mathematical Modeling Postdoc requires an advanced degree (typically a PhD) in mathematics, applied mathematics, or a related quantitative field, along with strong analytical and problem-solving abilities. Expertise with programming languages such as Python, MATLAB, or R, and experience with simulation software or computational tools, are commonly expected. Strong communication, collaboration, and critical thinking skills help in presenting findings and working effectively within research teams. These competencies are vital for developing robust models, interpreting complex data, and contributing to innovative research outcomes.
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What job categories do people searching Mathematical Modeling Postdoc jobs look for? The top searched job categories for Mathematical Modeling Postdoc jobs are:
Infographic showing various Mathematical Modeling Postdoc job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Mesoscale Modeling - Postdoctoral Researcher

Mesoscale Modeling - Postdoctoral Researcher

LLNL

Livermore, CA

$123K/yr

Full-time

Retirement

Posted 6 days ago


Job description

Company Description

Join us and make YOUR mark on the World!

Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. 

Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.

Job Description

We have an opening for a Postdoctoral Researcher to conduct computational research in the area of mesoscopic modeling of interface thermodynamics and kinetics, as well as associated microstructure evolution of materials, focusing on (electro)chemical and/or (electro)chemo-mechanical degradation mechanisms. You will be part of an interdisciplinary team of computational and experimental materials scientists utilizing world class computational and experimental research facilities to study the surfaces, interfaces, and microstructures of materials for structural and/or energy applications. This role will actively participate in the research and development of mesoscale computational models and codes for investigating mechanisms and simulating coupled interfacial processes in materials, including metals and metal oxides. This position is in the Computational Materials Science Group of the Materials Science Division.

  • fundamental and applied research in the thermodynamics and kinetics of surface/interface phenomena and associated microstructure evolution of metals and/or metal oxides.  
  • Develop integrated modeling and simulation capabilities for simulating concurrent physical, chemical, and materials kinetic processes in materials. 
  • Design and perform systematic computer simulations on LLNL supercomputers to establish the foundational understanding of thermodynamic and kinetic surface/interfacial mechanisms in these materials.
  • Pursue independent but complementary research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.
  • Collaborate with scientists in multidisciplinary team environment, including experimental and multiscale modeling experts.
  • Document research; publish papers in peer-reviewed journals, and present results within the DOE community and at conferences.
  • Perform other duties as assigned.
Qualifications
  • PhD in materials science, chemical engineering, mechanical engineering, physics, applied mathematics, or related field.
  • Demonstrated broad expertise in surface/interfacial mechanisms and phase transformations, with experience in microstructure-resolved mesoscale modeling of reactive (electro)chemical and/or (electro)chemo-mechanical processes governing degradation and/or performance in metals and/or metal oxides.
  • Experience with the development of phase-field models and the implementation of corresponding numerical methods in computer codes.
  • Experience with numerical methods for solving partial differential equations such as finite difference, finite element, and/or spectral methods.
  • Ability to develop independent research projects demonstrated through publication of peer-reviewed journal articles.
  • Proficient verbal and written communication skills as reflected in effective presentations at seminars, meetings and/or teaching lectures.
  • Initiative and interpersonal skills with desire and ability to work in a collaborative, multidisciplinary team environment.

Desired Qualifications

  • Experience with FORTRAN, C/C++, and parallel computing.
  • Experience in theoretical/computational studies of material microstructure evolution involving microelasticity and/or plasticity effects.
  • Experience with developing quantitative, parameterized phase-field models for interfacial processes and/or solid-state phase transformations of real materials systems (e.g., polycrystalline materials).

Pay Range

$123,048 Annually

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.

Additional Information

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

Position Information

This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date.

Why Lawrence Livermore National Laboratory?

  • Included in 2026 Best Places to Work by Glassdoor!
  • Flexible Benefits Package
  • 401(k)
  • Relocation Assistance
  • Education Reimbursement Program
  • Flexible schedules (*depending on project needs)
  • Our values - visit https://www.llnl.gov/inclusion/our-values

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.  

National Defense Authorization Act (NDAA)

The 2025 National Defense Authorization Act (NDAA), Section 3112, generally prohibits citizens of China, Russia, Iran and North Korea without dual US citizenship or legal permanent residence from accessing specific non-public areas of national security or nuclear weapons facilities.  The restrictions of NDAA Section 3112 apply to this position.  To be qualified for this position, Candidates must be eligible to access the Laboratory in compliance with Section 3112.

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.

Wireless and Medical Devices

Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession.  This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.  

If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas.  Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.

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: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf

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.

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. 

California Privacy Notice

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.