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Research Assistant

Lawrence Berkeley National Laboratory
San Francisco, California, US
Full-time

This role, supervised within ATAP, involves conducting neutron transport simulations to support cross section measurements.

Responsibilities include creating Monte Carlo N-Particle (MCNP) input files, running simulations, and analyzing data. This work is integral to achieving key milestones in a DOE-funded project led by the program, known for its expertise in ion beam induced fusion and applications.

What You Will Do :

  • Assist in setting up Monte Carlo N-Particle (MCNP) simulation input files that help us understand experiments and plan future experiments.
  • Assist with running simulations on a desktop, computer cluster, or high performance computer cluster.
  • Assist with data analysis of these simulations.
  • Participate in group and team meeting discussions.
  • Assist with the maintenance of notebooks and detailed logs.
  • Follow EH&S guidelines to ensure the safety of self and others in the lab and office spaces.

What is Required :

  • Detail-oriented with good communication, writing and troubleshooting skills.
  • Rudimentary knowledge and practical experience running the Monte Carlo N-Particle (MCNP) simulation program, its input format and output formats (including ptrac).
  • Rudimentary knowledge of data acquisition and analysis coding using scientific programming languages (Python, etc.).
  • General knowledge of an experimental laboratory.

Desired Qualifications :

  • Degree in Nuclear Engineering preferred or similar experience.
  • Experience in automating tasks related to Monte Carlo N-Particle (MCNP) simulations.
  • Experience with analysis codes such as Python.
  • Experience in data acquisition and statistical analysis.

Notes :

  • This is a full-time 1-year, term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.
  • This position is represented by a union for collective bargaining purposes.
  • Salary will be determined based on range by collective bargaining agreement.
  • The hourly range for this position is $21.79 - $31.69. The hourly rate for this position will be commensurate with the final candidate’s qualifications and experience, including skills, knowledge, relevant education, certifications, plus also aligned with the internal peer group.
  • This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position.

Having a conviction history will not automatically disqualify an applicant from being considered for employment.

Work will be primarily performed at : Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

Learn About Us :

Berkeley Lab is a U.S. Department of Energy national laboratory managed by the University of California and designated a Federally Funded Research and Development Center.

Located in the San Francisco Bay Area, we have a close relationship with UC Berkeley, as well as robust partnerships with other academic institutions and industries, including those in Silicon Valley.

The Laboratory conducts world-class research that supports clean energy, a healthy planet, and solution-inspired discovery science.

Berkeley Lab is defined by our deeply felt sense of stewardship , which we describe as a commitment to taking care of the Laboratory's research, people, and resources that are entrusted to us.

Our values of team science, innovation, service, trust, and respect knit us together as a community. We practice these values and prioritize our principles of inclusion, diversity, equity, and accountability ( IDEA ) to build highly effective teams that produce world-class science and technology and where all individuals, regardless of their backgrounds, disciplines, and experiences, can thrive.

Working at Berkeley Lab has many rewards including a competitive compensation program, excellent health and welfare programs, a retirement program that is second to none, and outstanding development opportunities.

To view information about the many rewards that are offered at Berkeley Lab- Click Here .

Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab’s mission of leading scientific discovery, inclusion, and professionalism.

In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

Create and manage profiles for future opportunities.

AM-Applied Mathematics and Computational Research

Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab’s mission of leading scientific discovery, inclusion, and professionalism.

In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

The following information aims to provide potential candidates with a better understanding of the requirements for this role.

The Lawrence Berkeley National Laboratory provides accommodation to otherwise qualified internal and external applicants who are disabled or become disabled and need assistance with the application process.

Internal and external applicants that need such assistance may contact the Lawrence Berkeley National Laboratory to request accommodation by telephone at 510-486-7635, by email to eeoaa@lbl.

gov or by U.S. mail at EEO / AA Office, One Cyclotron Road, MS90R-2121, Berkeley, CA 94720. These methods of contact have been put in place ONLY to be used by those internal and external applicants requesting accommodation.

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4 days ago
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