Machine Learning Under Spatial Symmetries Postdoc - Los Alamos National Laboratory
Los Alamos, NM
About the Job
What You Will Do
Come join the brightest minds at the most innovative R&D facility supporting our national security! The Computer, Computational, and Statistical Sciences Division at Los Alamos National Laboratory (LANL) is seeking outstanding candidates for a postdoctoral research associate position in machine learning for data with spatial symmetries. The position is available immediately.
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 optimally rotation-invariant neural nets. This new class of machine learning models is built on tensor algebra and Lie group theory and contains a complete and independent set of rotation-invariant feature descriptors. 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:
Publications
Strong track record of peer-reviewed publications within mathematics, computer science, data science, computational science, materials science, or related disciplines.
Communication
Good presentation, oral, and written communication skills
Technical Experience
Experience with computer programming and applied mathematics
Education/Experience: Ph.D. in mathematics, computer science, data science, computational science, materials 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.
Desired Qualifications:
• Expertise in data science and/or machine learning with direct experience using deep neural networks, convolutional neural networks, and/or graph neural networks
• Experience with computer vision, image classification and/or image processing
• Expertise with group theory, in particular with Lie Groups
• Experience designing neural network architectures
• Experience with molecular dynamics for materials science or chemistry
• Experience with materials microstructure
• Strong experience with python programming and machine learning frameworks for neural networks such as pytorch
• Demonstrated experience in interdisciplinary science, especially in the areas mentioned above
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.
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 https://www.lanl.gov/careers/career-options/postdoctoral-research/index.php
Note to Applicants:
The application package consists of a CV and a cover letter. No applicant is expected to have all of the desired skills. Anyone who meets the education and minimum job requirements is encouraged to apply.
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:
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 applyhelp@lanl.gov or call 1-505-664-6947 option 2 and then option 3.
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. 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
Come join the brightest minds at the most innovative R&D facility supporting our national security! The Computer, Computational, and Statistical Sciences Division at Los Alamos National Laboratory (LANL) is seeking outstanding candidates for a postdoctoral research associate position in machine learning for data with spatial symmetries. The position is available immediately.
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 optimally rotation-invariant neural nets. This new class of machine learning models is built on tensor algebra and Lie group theory and contains a complete and independent set of rotation-invariant feature descriptors. 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:
Publications
Strong track record of peer-reviewed publications within mathematics, computer science, data science, computational science, materials science, or related disciplines.
Communication
Good presentation, oral, and written communication skills
Technical Experience
Experience with computer programming and applied mathematics
Education/Experience: Ph.D. in mathematics, computer science, data science, computational science, materials 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.
Desired Qualifications:
• Expertise in data science and/or machine learning with direct experience using deep neural networks, convolutional neural networks, and/or graph neural networks
• Experience with computer vision, image classification and/or image processing
• Expertise with group theory, in particular with Lie Groups
• Experience designing neural network architectures
• Experience with molecular dynamics for materials science or chemistry
• Experience with materials microstructure
• Strong experience with python programming and machine learning frameworks for neural networks such as pytorch
• Demonstrated experience in interdisciplinary science, especially in the areas mentioned above
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.
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 https://www.lanl.gov/careers/career-options/postdoctoral-research/index.php
Note to Applicants:
The application package consists of a CV and a cover letter. No applicant is expected to have all of the desired skills. Anyone who meets the education and minimum job requirements is encouraged to apply.
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)
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 applyhelp@lanl.gov or call 1-505-664-6947 option 2 and then option 3.
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. 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
Source : Los Alamos National Laboratory
