Job Details

Lawrence Berkeley National Laboratory
  • Position Number: 2008814
  • Location: Berkeley, CA
  • Position Type: Liberal Arts - Human Development & Family Studies

Optimization for Deep Learning Postdoctoral Scholar - 91104

Organization: CR-Computational Research

Berkeley Lab's Center for Computational Sciences and Engineering (CCSE) in the Computational Research Division has an opening for a Postdoctoral Scholar in Optimization for Deep Learning. Researchers in CCSE develop and apply advanced computational methodologies to solve large-scale scientific and engineering problems arising in Department of Energy (DOE) mission areas involving energy, environment, and industrial technology. This position will actively contribute to CCSE's optimization research and algorithm development.

This is a research position in applied mathematics and computational science. The successful candidate will develop new efficient algorithms for the automated optimization of Deep Learning (DL) model architectures and the uncertainty quantification of the associated DL model's predictions. The postdoc will implement, benchmark, analyze, and apply the developments to science problems relevant to Berkeley Lab and the Department of Energy, for example predicting the traffic of the Energy Sciences network (ESnet). For more information about the optimization effort in the Center for Computational Sciences and Engineering, please visit https://optimization.lbl.gov/.

We value and strive for diversity in backgrounds, experiences, and perspectives.

What You Will Do:

Perform basic research in numerical optimization and develop algorithms for efficient DL model architecture optimization and uncertainty quantification.

Apply the developed algorithms to real-world problems arising at ESnet.

Work in a multidisciplinary team environment including mathematicians, computer and computational scientists, and domain scientists.

Author peer-reviewed journal articles and contribute to research proposals.

Ph.D. in Applied Mathematics or Computational Science within the last 3 years, with a strong research background in numerical optimization and surrogate modeling.

Demonstrated research experience in the development of computational optimization algorithms.

Demonstrated knowledge of and experience in using machine learning methods.

Excellent Python programming skills.

Ability and desire to work as part of a cross-disciplinary team.

Excellent oral and written communication skills.

Desired Qualifications:

Strong interpersonal communication skills are a plus.

The posting shall remain open until the position is filled.

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.

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

How To Apply

Apply directly online at http://50.73.55.13/counter.php?id=186764 and follow the on-line instructions to complete the application process.

Learn About Us:

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 (https://hr.lbl.gov/).

Berkeley Lab (LBNL, http://www.lbl.gov/) addresses the world's 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 Lab's scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy's 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 (https://www.dol.gov/ofccp/PayTransparencyNondiscrimination.html). Click here (http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) to view the poster: "Equal Employment Opportunity is the Law".







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