Data-driven and Machine Learning Postdoctoral Research Associate
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Job Title Data-driven and Machine Learning Postdoctoral Research Associate
Location Los Alamos, NM, US
Organization Name Information Sciences/ CCS-3
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 a
vailable for a talented and motivated researcher to work on the intersection of data-driven learning, uncertainty quantification, and machine learning, of dynamical systems.
The successful candidate will have the opportunity to engage with dynamic and multidisciplinary research teams that bridges applied mathematics, computational physics, statistics,
and computer science.
What You Need
Minimum Job Requirements:
Education/Experience : PhD in Applied Mathematics, Computational or Statistical Physics, Applied Statistics, or Computational Science & Engineering, 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. Additional information on salary ranges and other benefits can be found online at .
Note to Applicants:
For full consideration please click "Apply Now" button on this webpage and upload 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, please contact Yen Ting Lin ().
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.
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: 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 for assistance.
Employment Status
Appointment Type Postdoc
Postdoc
Contact Details
Contact Name
Email
Work Telephone
Job Title Data-driven and Machine Learning Postdoctoral Research Associate
Location Los Alamos, NM, US
Organization Name Information Sciences/ CCS-3
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 a
vailable for a talented and motivated researcher to work on the intersection of data-driven learning, uncertainty quantification, and machine learning, of dynamical systems.
The successful candidate will have the opportunity to engage with dynamic and multidisciplinary research teams that bridges applied mathematics, computational physics, statistics,
and computer science.
What You Need
Minimum Job Requirements:
Education/Experience : PhD in Applied Mathematics, Computational or Statistical Physics, Applied Statistics, or Computational Science & Engineering, completed within the last 5 years or to be completed soon.
The successful candidate must have:
- Fundamental understanding or experience in Koopman and/or Mori-Zwanzig formalism
- Fundamental understanding or experience in Kalman and/or Bayesian filters.
- Experience in data-driven and/or machine learning (ML) methods for dynamical systems, as evidenced through a strong scientific record of peer-reviewed publications and presentations.
- Excellent programming skills and experience with modern ML libraries (e.g., PyTorch, JAX, TensorFlow) and tools beyond online courses or certifications.
- Ability to work independently and in a collaborative and multi-disciplinary scientific environment with tight deadlines.
Desired Qualifications:
- Experience in developing and implementing data-driven learning methods from scratch.
- Experience with high-performance computing, GPU programming, parallel programing, and related paradigms.
- Willingness to explore, learn, and implement emerging data-driven and ML methods.
- Familiarity with best software engineering practices, including testing, code version control and continuous integration workflows.
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. Additional information on salary ranges and other benefits can be found online at .
Note to Applicants:
For full consideration please click "Apply Now" button on this webpage and upload 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, please contact Yen Ting Lin ().
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.
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: 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 for assistance.
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.
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