Sparse Linear Algebra and Machine Learning Postdoc Fellow

The Scalable Solvers Group in the Applied Mathematics and Computational Research Division at Lawrence Berkeley National Laboratory (LBNL) is seeking a Postdoctoral Fellow to develop parallel sparse linear solvers and preconditioners, integrate them into DOE science codes, and develop scalable scientific machine learning (SciML) and uncertainty quantification (UQ) methods for large-scale modeling and simulations.

What You Will Do:

• Develop next-generation sparse factorization based algebraic solvers and preconditioners for multi-node GPU platforms.
• Develop novel algorithms in the Bayesian statistical Gaussian Process framework, leading to robust and scalable UQ methods.
• Optimize the newly developed codes on emerging supercomputers built from multi- and manycore processors with GPU accelerators.
• Participate in a multidisciplinary team involving mathematicians, computer scientists, and domain scientists for developing and deploying advanced solver and SciML techniques in the solution of scientific and engineering problems.
• Document work and results in the form of journal papers and conference proceedings.
• Present work and results at scientific meetings.

What is Required:

• Ph.D. degree in Computer Science, Applied Math, Statistics, or Computational Science.
• Knowledge of numerical linear algebra, sparse matrices, and randomized algorithms.
• Knowledge of statistical and machine learning algorithms.
• Coding experience in parallel sparse matrix computations.
• Experience of parallel programming in high-level languages, such as C/C++, MPI, and OpenMP.
• Proven consensus builder in a highly collaborative environment.
• Excellent written and oral communication skills.

Desired Qualifications:

• Experience in parallel programming for GPUs.

Notes:

• This is a full-time, 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• This position is represented by a union for collective bargaining purposes.
• The monthly salary range for this position is $8,321-$9,646 and is expected to start at $8,321 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral experience.
• 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.
• This position is eligible for a hybrid work schedule - a combination of weekly teleworking and performing work on site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work schedules are dependent on business needs. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab.

Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov

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