Computational Science Postdoctoral Fellow - 95421
Organization: AM-Applied Mathematics and Computational Research
Lawrence Berkeley National Lab's (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division (https://crd.lbl.gov/divisions/amcr) has an opening for a Computational Science Postdoctoral Fellow to join the team.
In this exciting role, you will participate in research and development of state-of-the-art techniques and algorithms for sparse matrix computation. The position is funded by the exciting and successful DOE Scientific Discovery through Advanced Computing (SciDAC) Program, which promotes collaborations among applied mathematicians, computer scientists, and domain scientists to tackle important science problems. As a participant of the SciDAC Program, you will not only have an opportunity to work with other algorithm developers, but also collaboratively with domain scientists to solve problems on large-scale computational platforms.
What You Will Do:
• Participate in research activities related to the development of advanced techniques for the solution of large sparse systems of linear equations using direct methods and other approaches on advanced computer architectures.
• Analysis of the performance profile and algorithmic complexity of existing algorithms and their implementations.
• Improvement of the efficiency and reliability of existing algorithms.
• Development of novel computational algorithms on high-performance computer architectures.
• Interact with domain scientists and apply the research developed to large-scale modeling and simulation.
What is Required:
• Ph.D. within the last 3 years in Computer Science, Mathematics, Computational Science, or related disciplines.
• Knowledge of advanced numerical methods, including matrix computation.
• Understanding of challenges in sparse matrix computation.
• Experience in using numerical methods for solving science and engineering problems.
• Demonstrated expertise in data structures, high performance computing, and parallel computing (including computing on GPU's).
• Excellent communication skills.
• Knowledge of graph theory.
• This is a full-time, 1 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 4 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.
• Salary will be predetermined based on postdoctoral step rates.
• 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.
How To Apply
Apply directly online at http://18.104.22.168/counter.php?id=227430 and follow the on-line instructions to complete the application process.
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