Mesh Generation Postdoc
Listed on 2025-12-15
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Science
Research Scientist, Data Scientist
What You Will Do
Join our world-class team! Now is your chance to make a difference in supporting our national security mission. The XCP-4, Continuum Models and Numerical Methods group of Los Alamos National Laboratory is seeking qualified candidates for a postdoctoral position researching methods at the intersection of computational geometry, mesh generation and machine learning.
XCP-4 is responsible for the design and implementation of a wide variety of physical models and simulation setup software including high explosive, turbulence, solid dynamics and damage models, and is a leader in the development of numerical methods for hydrodynamics simulations, remap and computational meshes.
The successful candidate will contribute within a collaborative team environment to research, develop, implement, and integrate methods for machine learning aided block structured mesh generation algorithms. The candidate will be part of a multi-disciplinary team that also includes research and development on methods for field remapping, material interface tracking, code-to-code linking, and automated simulation workflows. All the work is done in high performance computing environments with multi-core CPUs and GPUs using UNIX operating systems.
The successful candidate will have strong skills in the domain areas of unstructured and block-structured mesh generation, mesh adaptivity, geometric modeling methods and computational geometry. They will actively participate in team decisions on algorithms and research and collaborate with team members to develop and maintain software; therefore, the ability to work well in a team environment is extremely important, as is the ability to interact with users in an efficient and productive manner.
WhatYou Need Minimum
Job Requirements
- A PhD in mesh generation or computational geometry with a track record of publishing and presenting on this topic
- Familiarity with machine learning methods, particularly reinforcement learning
- Experience running ML training, post processing results and interpreting model behavior
- Expertise in one code language such as Python or C++
This job requires a PhD in mesh generation or a related field.
Desired Qualifications- Familiarity with AI/ML tools such as PyTorch, Tensor Flow and Stable Baselines
- Experience developing parallel applications using MPI
- Experience with C++ and Python
- Experience developing large scale, production software
- Experience with modern software development practices such as version control, unit testing, continuous integration, automatic generation of documentation etc.
- Familiarity with Agile development practices
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) 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.
WorkLocation
Onsite in Los Alamos, NM. All work locations are at the discretion of management.
Where You Will WorkLocated 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)
Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. This requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
ClearanceQ clearance. 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 U.S. Citizenship except in extremely rare circumstances.
New-Employment TestThe Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
Internal ApplicantsRegular appointment…
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