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Full Time Partial Differential Equations Jobs (NOW HIRING)

... partial differential equations (PDEs), numerical solutions of partial differential equations to ... This position requires full-time on-site presence due to the nature of the work. You will * Develop ...

Strong consideration will be given to applicants who can teach partial differential equations and ... Ability to view a computer terminal FLSA Exempt Status Full-Time Skills and Attributes Knowledge:

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Full Time Partial Differential Equations information

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$55.5K

$74.9K

$102K

How much do full time partial differential equations jobs pay per year?

As of Jul 28, 2026, the average yearly pay for full time partial differential equations in the United States is $74,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $93,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Partial Differential Equations vs Computational Mathematician?

AspectFull Time Partial Differential EquationsComputational Mathematician
Required credentialsAdvanced degrees in mathematics or applied math, specialization in PDEsMathematics, computer science, or engineering degrees, with programming skills
Work environmentResearch labs, academia, or industry R&D teams focused on modelingResearch institutions, tech companies, or academia involving algorithm development
Industry usageEngineering, physics, finance, and applied sciencesData analysis, simulation, algorithm design across various sectors

Full Time Partial Differential Equations specialists focus on solving and analyzing PDEs, often in research or applied contexts. Computational Mathematicians develop algorithms and computational methods, frequently working with PDEs but also broader mathematical problems. Both roles require strong math backgrounds, but their focus areas and work environments differ.

What are the key skills and qualifications needed to thrive as a Partial Differential Equations Specialist, and why are they important?

To thrive as a Partial Differential Equations (PDE) Specialist, you need an advanced degree in mathematics or applied mathematics, with a deep understanding of differential equations and mathematical analysis. Expertise in computational tools such as MATLAB, Mathematica, or Python, and familiarity with numerical methods, is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you tackle complex problems and explain findings to diverse audiences. These skills are crucial for developing accurate models and solutions in fields like engineering, physics, and finance where PDEs are foundational.

What are the typical collaborative opportunities for someone working full-time in Partial Differential Equations (PDEs)?

Professionals working full-time in Partial Differential Equations often collaborate closely with interdisciplinary teams, including applied mathematicians, physicists, engineers, and computer scientists. These collaborations are crucial for developing mathematical models, analyzing complex systems, and implementing computational solutions. Teamwork typically involves regular meetings to discuss progress, share results, and troubleshoot challenges, especially when working on large-scale research projects or industry applications. Such collaborative environments foster knowledge exchange and can lead to new research directions or innovative applications of PDEs.

What are Full Time Partial Differential Equations jobs?

Full Time Partial Differential Equations (PDE) jobs refer to positions where professionals work primarily with partial differential equations in a full-time capacity. These roles are typically found in academic research, applied mathematics, engineering, finance, and data science sectors. Duties may include modeling physical phenomena, developing numerical methods, performing simulations, and teaching or publishing research. Candidates usually have advanced degrees in mathematics, physics, or related fields and strong analytical skills. Employers value experience with computational tools and programming languages relevant to solving PDEs.
More about Full Time Partial Differential Equations jobs
What are the most commonly searched types of Partial Differential Equations jobs? The most popular types of Partial Differential Equations jobs are:
What states have the most Full Time Partial Differential Equations jobs? States with the most job openings for Full Time Partial Differential Equations jobs include:
What job categories do people searching Full Time Partial Differential Equations jobs look for? The top searched job categories for Full Time Partial Differential Equations jobs are:
Infographic showing various Full Time Partial Differential Equations job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $74,877 per year, or $36 per hour.
Machine Learning Physics Graduate Student

Machine Learning Physics Graduate Student

LLNL

Livermore, CA • On-site

$6.7K - $8.2K/mo

Full-time

Retirement

Posted 27 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 multiple openings for Machine Learning Graduate Student Interns to engage in practical research experience to further their educational goals. You will work on multidisciplinary projects, such as development of classical empirical and machine learning interatomic potentials, discovery of partial differential equations (PDEs), numerical solutions of partial differential equations to model material behavior at continuum scale and analysis of large atomic datasets. These positions are in in the Equation of State Materials Theory Group of the Physics Division of the Physical & Life Sciences Directorate.
This position requires full-time on-site presence due to the nature of the work.
You will
  • Develop parallel C/C++/Python codes to train, test and evolve (a) PDEs (for phase field and phase field crystal models) discovered from data, and (b) interatomic potentials developed from quantum simulations.
  • Explore the use of machine learning methods to discover and evolve PDEs for phase field and phase field crystal models.
  • Analyze results, provide weekly updates and present work at poster sessions
  • Review literature in the field of study, document results and write papers.
  • Perform other duties as assigned.

Qualifications
  • Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA). See Additional Information section below for details.
  • Continuing student in good standing at an accredited institution of higher education pursuing a graduate degree in Physics or related field.
  • Research background with a record of publication.
  • Experience in writing codes (in C/C++ and Python) and a background in Materials Science/Engineering/Physics/Applied Mathematics.
  • Excellent skills in written and verbal communication, as well as teamwork.

Qualifications We Desire
  • Experience in parallel computing, porting codes to GPUs, experience in numerical solutions of partial differential equations.

Pay Range
$6,752 - $8,201 Monthly
This position is under a step structure. Please note that the step placement is determined by your most recent completed academic year.
Additional Information
#LI-Onsite
Why Lawrence Livermore National Laboratory?
  • Included in 2026Best Places to Work by Glassdoor!
  • Holiday Pay
  • Sick leave accrual
  • Individual 401(k) contributions
  • 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 useand/or possession ofmobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area whereyou are not permitted to have a personal and/or laboratory mobile devicein your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.
Ifyou useamedical device, whichpairs with a mobile device,you must still follow the rules concerningthe mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities requireseparate 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.
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 here .