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AI-Driven Autonomous Visualization Postdoc

Los Alamos National Laboratory

Los Alamos, NM

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JOB DETAILS
SKILLS
Artificial Intelligence (AI), Communication Skills, Computer Science, Computer Security, Computer Vision, Conferences, DSL (Digital Subscriber Line), Data Science, Deep Learning, Dental Insurance, Image Processing, Insurance, JAX (Java API for XML), Laboratory, Machine Learning, Mathematics, Modeling Languages, Network Architecture/Engineering, Neural Networks, Operations Security (OPSEC), Presentation/Verbal Skills, Publications, Python Programming/Scripting Language, Research & Development (R&D), Scientific Publications, Tuition Fees, Vision Plan, Writing Skills
LOCATION
Los Alamos, NM
POSTED
30+ days ago
What You Will Do

Come join the brightest minds at the most innovative R&D facility supporting our national security! The Computing and Artificial Intelligence Division at Los Alamos National Laboratory (LANL) is seeking outstanding candidates for a postdoctoral research associate position in machine learning for scientific visualization. As the postdoc, you will work in conjunction with a small team of Ph.D. staff scientists as part of a research project focused on building agentic workflows that are able to generate, evaluate, and optimize scientific visualizations. This project will develop a domain-specific language (DSL), multimodal knowledge graphs, and an AI model of human perception to make the visualizations reliable, explainable, and human interpretable. You should have a strong publication record, an open mind to explore boundaries of scientific fields, and ability to effectively communicate with researchers with varied backgrounds. As the postdoctoral research associate, you would be expected to publish results of the work in high-impact peer-reviewed journals and present at well-known conferences. The position is for two years, with a third year possible contingent on excellent performance.

What You Need

Minimum Job Requirements:
  • Expertise in data science and/or machine learning with direct experience using deep neural networks, convolutional neural networks, transformers and/or diffusion models
  • Experience with python programming and machine learning frameworks for neural networks such as PyTorch or JAX/Flax
  • Strong track record of peer-reviewed publications within computer science, data science, machine learning, visualization, or related disciplines
  • Good presentation, oral, and written communication skills

Desired Qualifications:
  • Experience developing advanced AI/ML systems, including agentic workflows, large language models (LLMs), and neural network architectures
  • Experience in visual and perceptual computing, such as scientific visualization, computer vision, image processing, multimodal knowledge graphs, or neural radiance fields (NeRFs)
  • Demonstrated experience in interdisciplinary science, especially in the areas mentioned above

Education/Experience: Ph.D. in machine learning, mathematics, computer science, data science, or a related discipline completed within the last 5 years. Applications from candidates who will earn their degree by the time of appointment are accepted.

Work Environment:

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.

No Clearance: Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.

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.
Instructions on How to Activate/Create a LANL Jobs Account:

Follow the instructions below if you have ever had an employee Z number, been a contractor, or received Los Alamos Lab insurance coverage to activate your account:
  • Select the Click Here button if you have been employed with the Lab or received insurance coverage.
  • Please enter only your first and last name and current email address (an email with your validation code will be sent to you) to activate the account currently in our system.
  • Enter your validation code as described in the email you receive and complete the 3-page registration form. Your account is now active, and you can apply for jobs or save to your basket. Important: Enter the validation code within 15 days to activate your account or your account will be deactivated.

Follow the instructions below if you if you have never been employed with the Lab or received insurance coverage to create an account:
  • Select the Register button if you have never been employed with the Lab or received insurance coverage to Create an Account.
  • From here, you will establish an account with username and password.

How to Apply: Login to Your Account to Complete the Application Process
  • Click the Vacancy Name number (in blue) to view any job's details.
  • Click Apply or Add to Basket to apply later. Tip: To apply for a job or save your basket, you must have a LANL jobs account.

If you experience any technical issues, please email applyhelp@lanl.gov for assistance.

About the Company

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Los Alamos National Laboratory