Overview
On Site
USD 94,500.00 per year
Full Time
Skills
Monte Carlo method
Bridging
Computational physics
Physics
Applied mathematics
Statistics
Computer science
Presentations
PyTorch
Python
JAX
Machine Learning (ML)
Microsoft Certified Professional
Algorithms
Scratch
High performance computing
GPU
Software development
Software engineering
Version control
Continuous integration
Continuous Integration and Development
Workflow
Publications
Research
Science
PPO
Health insurance
Network
Insurance
RADIUS
Design of experiments
Security clearance
Policies
Testing
Law
LOS
Recruiting
Job Details
Description
Job Title Machine Learning Postdoctoral Research Associate
Location Los Alamos, NM, US
Organization Name CCS-3/ Information Sciences
Minimum Salary
Maximum Salary
What You Will Do
The Information Sciences Group in the Computer, Computational and Statistical Sciences Division of Los Alamos National Laboratory has an immediate postdoctoral position available for a talented and motivated researcher to work on the intersection of generative models (including flows and diffusion models), Physics-Informed machine Learning, and Monte Carlo Sampling methods. You will have the opportunity to engage with a dynamic and multidisciplinary research team that bridges fundamental computer science, computational physics, statistics and applied mathematics.
What You Need
Minimum Job Requirements:
Education/Experience : PhD in either Computational and/or Statistical Physics, Applied Mathematics, Statistics, Computer Science, or related fields, completed within the last 5 years or to be completed soon.
The successful candidate must have:
Desired Qualifications:
Work Location:
The work location for this position is onsite (in person) and located in Los Alamos, NM.
Salary : Competitive salaries are based on the date the PhD degree requirements were completed or the degree was awarded. Starting salary for a new graduate is currently $94,500. For more information go to Postdoc Program website at .
Note to Applicants:
For full consideration please provide a comprehensive CV with publications, a cover letter describing your qualifications and how you meet the job requirements, and the name and contact information of at least three references. For questions about this position contact: Yen Ting Lin ( ) or Cristina Garcia-Cardona ()
For more information, visit LANL career page: .
Outstanding candidates may be considered for a Director's Postdoc Fellowship. For more information about the Postdoc Program, go to:
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:
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.
*Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.
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.
Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer and supports a diverse and inclusive workforce. All employment practices are based on qualification and merit, without regard to 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 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 or call 1- option 2 and then option 3.
Employment Status
Appointment Type Postdoc
Postdoc
Contact Details
Contact Name
Email
Work Telephone
Job Title Machine Learning Postdoctoral Research Associate
Location Los Alamos, NM, US
Organization Name CCS-3/ Information Sciences
Minimum Salary
Maximum Salary
What You Will Do
The Information Sciences Group in the Computer, Computational and Statistical Sciences Division of Los Alamos National Laboratory has an immediate postdoctoral position available for a talented and motivated researcher to work on the intersection of generative models (including flows and diffusion models), Physics-Informed machine Learning, and Monte Carlo Sampling methods. You will have the opportunity to engage with a dynamic and multidisciplinary research team that bridges fundamental computer science, computational physics, statistics and applied mathematics.
What You Need
Minimum Job Requirements:
Education/Experience : PhD in either Computational and/or Statistical Physics, Applied Mathematics, Statistics, Computer Science, or related fields, completed within the last 5 years or to be completed soon.
The successful candidate must have:
- Fundamental understanding of machine learning (ML) methods as evidenced through a strong scientific record of peer-reviewed publications and presentations.
- Experience with modern ML libraries (e.g. PyTorch) and tools beyond online courses or certifications.
- Excellent programming skills and demonstrated experience using high-level languages such as Python or JAX.
- Willingness to explore, learn, and implement emerging ML methods.
- Ability to work independently and in a collaborative and multi-disciplinary scientific environment with tight deadlines.
Desired Qualifications:
- Experience in developing and implementing ML and/or MCM algorithms from scratch.
- Experience with high-performance computing, GPU programming, parallel programing, and related paradigms.
- Familiarity with best software engineering practices, including testing, code version control and continuous integration workflows.
- Understanding and experience in generative models.
Work Location:
The work location for this position is onsite (in person) and located in Los Alamos, NM.
Salary : Competitive salaries are based on the date the PhD degree requirements were completed or the degree was awarded. Starting salary for a new graduate is currently $94,500. For more information go to Postdoc Program website at .
Note to Applicants:
For full consideration please provide a comprehensive CV with publications, a cover letter describing your qualifications and how you meet the job requirements, and the name and contact information of at least three references. For questions about this position contact: Yen Ting Lin ( ) or Cristina Garcia-Cardona ()
For more information, visit LANL career page: .
Outstanding candidates may be considered for a Director's Postdoc Fellowship. For more information about the Postdoc Program, go to:
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 maternity and parental leave
- Award-winning 401(k) (6% matching plus 3.5% annually)
- Learning opportunities and tuition assistance
- Flexible schedules and time off (paid sick, vacation, 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.
*Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.
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.
Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer and supports a diverse and inclusive workforce. All employment practices are based on qualification and merit, without regard to 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 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 or call 1- option 2 and then option 3.
Employment Status
Appointment Type Postdoc
Postdoc
Contact Details
Contact Name
Work Telephone
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.