Lawrence Berkeley National Lab’s (LBNL) Applied Mathematics and Computational Research Division has an opening for a Post Baccalaureate Fellow to join the team.

In this exciting role, you will perform research in the field of scientific machine learning, assisting research staff in the applied mathematics and computational research division.

What You Will Do:

• Train a neural network to represent the impact of basal hydrology which can hopefully emulate the dynamics of subglacial hydrology networks and potentially improve an adaptive mesh refinement (AMR) subglacial hydrology model developed at LBL.
• Investigate the use of ML approaches for tackling some problems arising from sparse matrix computation, and for preconditioning for solving sparse systems of linear equations.

What is Required:

• Bachelor degree.
• Computer science or math background. Machine learning expertise. Coding experience in Python, C/C++, Matlab.

For full consideration, please apply by August 17, 2022.

Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/

Notes:

• This is a full time, 1 year, non-exempt from overtime pay (hourly paid), term appointment.
• 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 may be performed on-site, hybrid, full-time telework or remote modes. Work must be performed within the United States.

Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof that vaccination requirements have been met or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.

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