Los Alamos National Laboratory Diversity Jobs

COVID Vaccine Mandate for Los Alamos National Laboratory

The COVID vaccine is mandatory for all Laboratory teleworking and on-site employees, on-site students, on-site contractors, and on-site subcontractors unless granted an accommodation under applicable state or federal law.

NNSA Supplemental </em><i><a href="https://directives.nnsa.doe.gov/supplemental-directive/sd-0206-0002" id="LPlnk523380">Directive 206.2 </a></i><em>. </em><em>Please note t
ircumstances. See <a href="https://www.directives.doe.gov/directives-documents/400-series/0472.2-BOrder">DOE Order 472.2 </a> for additional inf
ease refer to Policy <a href="https://int.lanl.gov/policy/documents/P701.pdf">Policy P701 </a>for applicant eligib
mation refer to the <a href="http://www.lanl.gov/careers/career-options/student-internships/index.php">Student Programs </a> web page. </p><p class="MsoNormal" style="MARGIN: 0.0in 0.0in 0.0pt;"></p><strong>Eq
ase send an email to <a>applyhelp@lanl.gov </a>or call 1-505-665-44
ssues, please email <a>applyhelp@lanl.gov </a>for assistance. </p><input id="IrcFlexField1Flex_Read_Only_Flag" type="hidden" value="true" name="IrcFlexField1Flex_Read_Only_Flag">Ap

Job Information

Los Alamos National Laboratory Post-Master's Research Associate in Information and Statistical Sciences in Los Alamos, New Mexico

What You Will Do

The Los Alamos Statistical Sciences (CCS-6) and Informational Sciences (CCS-3) Groups are searching for a student in statistics, computer science, or mathematics. This student will aid in advancing and developing novel models that will serve to address important issues in nuclear forensics. In particular, the student will gain experience in constructing pattern recognition and machine learning algorithms for various types of data (e.g., vectorial data, functional data, imagery data) in order to characterize samples of interdicted materials.

What You Need

Minimum Job Requirements:

  • The student should be proficient in R and/or Python programming, and should have a rigorous understanding of statistical methodologies inherent in machine learning and pattern recognition techniques.

Education/Experience : Completed master’s degree within the last three years with a minimum cumulative GPA of 3.2 on a 4.0 scale; Proficiency in R and Python programming (or R within Python, or Python within R).

This position will be physically located in Los Alamos, NM.

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.

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.

U.S. Citizenship: Many Laboratory positions will require or eventually require a security clearance, which typically requires U.S. Citizenship to obtain, except in extremely limited circumstances. See DOE Order 472.2 for additional information.

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.

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 PolicyPolicy P701for applicant eligibility requirements.

For general program information refer to the Student Programs web page.

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 or preference, 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 1-505-665-4444 option 1.

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.

Appointment Type

GRA

GRA

Contact Details
Contact Name Marquez, Yesenia Jasmin
Email ymarquez@lanl.gov
Work Telephone
Vacancy Name: IRC89454
Organization Name CCS-6/Statistical Sciences
Minimum Salary
Maximum Salary
Req ID: IRC89454
Category: Student - Post Master

DirectEmployers