Los Alamos National Laboratory Veterans 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
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><strong>E
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><p></p><input id="IrcFlexField1Flex_Read_Only_Flag" type="hidden" value="true" name="IrcFlexField1Flex_Read_Only_Flag">

Job Information

Los Alamos National Laboratory Information Systems and Modeling Post Bachelor Student in Los Alamos, New Mexico

What You Will Do

The Information Systems and Modeling Group (A-1) is seeking a Post-Bachelor students to join one of our dynamic teams! Multiple teams within A-1 are seeking team-oriented and highly-motivated post-bachelor students. This role will allow for the selected candidate to partner with an experienced mentor who will provide guidance and feedback throughout the course of the internship.

The Information Systems and Modeling Group (A-1) is currently seeking Post Bachelor students to join one of the following teams:

  • QUIC CBR Plume Modeling Team

  • Infrastructure Team

  • Data Analytics Team

What You Need

Minimum Job Requirements:

QUIC CBR Plume Modeling Team

  • Educational background in Mechanical Engineering, Meteorology, Environmental Sciences, Chemical Engineering, Atmospheric Sciences, Nuclear Engineering, Civil Engineering, Aviation Sciences, or related technical field.

Data Analytics Team

  • Educational background in Mathematics, Computer Science, Statistics, Public Health or related technical field.

Infrastructure Team

  • Educational background in electrical engineering, chemical engineering, or related technical field.

  • Coursework is required in one or more of the following: electromechanical energy conversion, power systems, protection, smart grids, renewable energy, power electronics, electric machines and drives, electric vehicles.

  • Experience in power system modeling and simulation and familiarity with tools such as PowerWorld, MATPOWER, PSSE, PowerModels, Simscape, PSIM, or PSCAD.

  • Programming skills in MATLAB, Python, or Julia.

  • Relevant power engineering experience at electric utilities or through a senior design project is strongly preferred.

Communication: Good communication skills, brainstorming and writing skills are essential, as is working effectively as part of a team.

Programming Experience: Familiarity with Python, R, C++, MATLAB, or an equivalent programming language.

Desire to Learn: The desire to continually learn new things, as well as being open to working on a variety of topics.

Education/Experience : Bachelor’s Degree preferably in STEM or related field awarded in the past three years, with a minimum GPA of 3.0 on a 4.0 scale, or its equivalent, but have not yet been accepted and enrolled in a graduate program.

Desired Qualifications:

Data Analytics Team

  • Experience processing social media data

  • Experience with large-scale data processing

  • Experience with high-performance computing and parallel computation

  • Experience with mathematical and/or statistical modeling

  • Experience with agent-based modeling

  • Experience with machine learning

  • Experience with natural language processing

  • Experience with geographic information system analysis

  • Experience analyzing and/or interpreting disease-related data

QUIC CBR Plume Modeling Team

  • Experience or strong interest in running numerical weather prediction, computational fluid dynamics, airborne plume transport and dispersion, and/or fire spread models

  • GPU coding experience

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.LANL enhances national security by ensuring the safety and reliability of the U.S. nuclear stockpile, developing technologies to reduce threats from weapons of mass destruction, and solving problems related to energy, environment, infrastructure, health, and global security concerns.

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.

426.2: This position is subject to DOE Order 426.2, Personnel Selection, Training, and Qualification Requirements for DOE Nuclear Facilities, which establishes entry-level requirements to ensure candidates selected for specific positions can successfully perform the requirements of the job.

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 .

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  • 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:

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  • 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.

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

Appointment Type

UGS

UGS

Contact Details
Contact Name Wilson, Amber
Email amberw@lanl.gov
Work Telephone
Vacancy Name: IRC89853
Organization Name A-1/Analytics, Intelligence, and Technology – Information Systems & Modeling
Minimum Salary
Maximum Salary
Req ID: IRC89853
Category: Student - Post Bachelor

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