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Computational Science Postdoctoral Fellow

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POST DATE 9/14/2016
END DATE 10/29/2016

Lawrence Berkeley National Laboratory Berkeley, CA

Company
Lawrence Berkeley National Laboratory
Job Classification
Full Time
Company Ref #
82932
AJE Ref #
576171456
Location
Berkeley, CA
Experience
Entry Level (0 - 2 years)
Job Type
Regular
Education
Doctoral Degree

JOB DESCRIPTION

APPLY
9Berkeley Lab is Bringing Science Solutions to the World, and YOU can be a part of it!

In the world of science, Lawrence Berkeley National Laboratory (LBNL) is synonymous with "excellence." That's why we hire the best - whether in research, science or operations. This is a great opportunity to bring your top-notch skills to bear in support of world-class scientific research that addresses national and global challenges!

Position Summary:

Berkeley Labs Computational Research Division (CRD) has an exciting opportunity for a Computational Science Postdoctoral Research Fellow to join the Scalable Solvers Group to develop advanced high-performance algorithms for solving large-scale traffic modeling problems.

Specific Responsibilities:

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Help traffic management centers to improve performance of road networks and reduce congestion.
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Identify trends in traffic patterns measured either on the freeway, on arterials, or both.

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Resolve computational challenges including issues of model calibration, confidence, size and fidelity, real-time analysis, and model coupling.
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Evaluate existing algorithms from real data, development of new algorithms especially parallel algorithms for handling larger datasets, and integrate of the new algorithms into various simulation models, at both research level and production level.
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Deliver both software distributions and publications targeted at top-tier research conferences and journals.

Required Qualifications:

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PhD degree, within the last 3 years, in computer science, applied math, statistics, computational science or a related technical field.
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Experience in numerical computing software such as Matlab, R, Python.
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Background in parallel programming in high-level languages, such as C/C , MPI, and OpenMP.
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Demonstrated proficiencies in more than one programming language.
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Proven consensus builder in a highly collaborative environment.
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Excellent written and oral communication skills.

Additional Desired Qualifications:

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Knowledge of linear algebra and machine learning algorithms.

The posting shall remain open until the position is filled, however for full consideration, please apply by close of business on October 31, 2016.

Notes:

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This is a 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 2 of years paid postdoctoral experience.
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Salary will be predetermined based on postdoctoral step rates.
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This position requires completion of a background check.

Berkeley Lab understands the postdoctoral experience in a research environment is unique. We are committed to the growth and development of early career researchers in pursuit of becoming next generation scientists and engineers. Read about the excellent postdoctoral benefits at Berkeley Lab.

Berkeley Lab addresses the worlds most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Labs scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energys Office of Science.

Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here to view the poster and supplement: "Equal Employment Opportunity is the Law.