Los Alamos National Laboratory Post Bachelors Student in Los Alamos, New Mexico
What You Will Do
Come join the brightest minds at the most innovative R&D facility supporting our national security! CCS-2 is seeking recent graduates looking for a machine learning internship at the post-baccalaureate level. In this position, you will be provided with a mentor, a challenging project, and an opportunity to present their work to colleagues. The project will involve applying machine learning methods to choosing and analyzing group structures for deterministic neutron transport.
You will run the neutron transport code PARTISN for different group structures and analyze the results in Python using machine learning. Both PARTISN and the Python code will be run on the LANL High Performance Computing (HPC) machines.
What You Need
Minimum Job Requirements:
The successful candidate should have experience in:
Scientific computing and/or computational physics
Python or similar programming language
Software management (Git, CVS, etc.)
HPC machine environments (shells, running parallel jobs)
Debugging, trouble-shooting, and diagnosing software problems
Working collaboratively and building relationships in teams
Technical writing and presentations
Deterministic and/or Monte Carlo neutron transport
Radiation modeling software, such as PARTISN or MCNP
Developing parallel software
Machine learning software (such as scikit-learn)
Education :Bachelor’s degree in Nuclear Engineering, Computer Science, Applied Mathematics, or equivalent science/engineering degree. Eligibility is limited to students who have completed a bachelor’s degree within the past 3 years, but have not been accepted and enrolled in a graduate program. The bachelor’s degree should have been completed with a minimum cumulative GPA of 3.0 on a 4.0 scale, or equivalent.
Location: This position will be physically located in Los Alamos, NM.
COVID Vaccine : The COVID vaccine is mandatory for all Laboratory students working on-site and students coming on-site, as well as any students coming on-site for any reason; unless granted an accommodation under applicable state or federal law.
Note to Applicants: A resume and current transcript are required. Applicants must submit a comprehensive cover letter (two pages or less) that addresses the job requirements of the position. Your letter or resume should provide contact information for 2-4 references who are familiar with your capabilities as related to this job.
Where You Will Work
Located in 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.
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.
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.
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Contact Name Shiu, Stephanie Yvonne
Vacancy Name: IRC90795
Organization Name CCS-2/Computer, Computational & Stat Sciences - Computational Physics And Methods
Req ID: IRC90795
Category: Student - Post Bachelor