Machine Learning in Astrophysical Phenomena Post Bachelors Student

Updated: about 1 month ago

What You Will Do

The Eulerian Codes Group (XCP-2) is seeking recent graduates looking for a challenging post graduate internship at the post-baccalaureate level in machine learning and astrophysics. Selected candidates will be provided with a mentor, a challenging project, and an opportunity to present their work and progress to colleagues. The projects will vary depending on the skills and interests of the candidate and the Laboratory’s current needs.

XCP-2 is a software development and applications tools organization that works in four principal LANL mission areas:

  • Nuclear Weapons Program

  • Threat Reduction and Department of Homeland Security programs

  • Basic science and technology research programs

  • Institutional Computing Program

The successful candidate will work closely with XCP staff and Eulerian Applications Project (EAP) team members to conduct research in numerical methods and algorithms, physical model development, and software engineering. We contribute to a wide variety of basic and applied research activities that are directly applicable to core needs.

What You Need

Minimum Job Requirements:

The successful candidate should have the education or experience in one of the following areas relevant to XCP-2 and EAP:

  • Experience with physics-based Machine Learning

  • Proficient in one (or more) of: Python, Fortran, C, C+

  • Experience and interest in astrophysical research

  • Broad high level knowledge of stellar evolution and physical processes in stars and/or supernovae

  • Numerical analysis

  • Computational physics

Desired Qualifications:

  • Strong leadership and self-motivation skills

Education: BS/BA Degree from an accredited program in engineering, mathematics, computer science, physics, or related field completed within the past 2 years with a cumulative GPA of at least a 3.2 on a 4.0 scale.

Note to Applicants:

  • A resume and current transcript, showing the above requirements, is required.

  • Applicants must submit a cover letter that addresses the job requirements of the position, if applicable the desired skills, and education eligibility.

  • Your letter or resume should provide contact information for 2 references who are familiar with your capabilities as related to this job.

Additional Details

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.

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.

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)

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 toactivateyour 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 tocreatean 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

UGS

UGS

Contact Details
Contact Name Chavez, Raymond Ceasar
Email chavez_r@lanl.gov
Work Telephone
Vacancy Name: IRC80452
Organization Name XCP-2/ X Computational Physics-Eulerian Codes
Minimum Salary
Maximum Salary
Req ID: IRC80452
Category: Student - Post Bachelor


View or Apply

Similar Positions