Company
Lawrence Berkeley National Laboratory
Company Website
Where
Berkeley, CA
Info
Full Time
Applications have closed
Machine Learning Postdoctoral Researcher

Machine Learning Postdoctoral Researcher – 99179
Division: AM-Applied Mathematics and Computational Research

Lawrence Berkeley National Lab’s (LBNL) Applied Mathematics and Computational Research Division has an opening for a Machine Learning Postdoctoral Researcher to join the team.

The Center for Computational Sciences and Engineering (CCSE) develops and applies advanced computational methodologies to solve large-scale scientific and engineering problems arising in DOE mission areas involving energy, environment, and industrial technology. The primary focus of CCSE researchers is on designing algorithms for multiscale, multiphysics problems described by nonlinear systems of partial differential equations, and in developing implementations of algorithms that target current and next-generation massively parallel computational architectures. CCSE researchers work collaboratively with application scientists to develop state-of-the-art solution methodologies in these fields.

In this exciting role, you will be responsible for developing highly performant ML-augmented models, targeting beyond-Moore microelectronics applications. The approach involves integrating neural networks directly into multi-physical mechanistic models to capture the coupling mechanisms between different physics, such as electro-dynamics, electro-statics, and spin waves. Physics-informed machine learning techniques such as implementing neural networks as universal function approximators will be explored. The outcome of this research will be an enhanced hybrid modeling tool for more realistic devices, which shares the merits of both classical and machine learning-based algorithms, and is performant on manycore/GPU-based supercomputers.

What You Will Do:

  • Develop machine learning algorithms and neural networks for modeling and/or accelerating PDE simulations.
  • Perform uncertainty quantification on machine learning models for PDEs.
  • Utilize supercomputing resources for PDE and machine-learning models.
  • Perform data analytics on large-scale datasets.
  • Work in a multidisciplinary team environment including mathematicians, computer/computational scientists, and domain scientists.
  • Author peer-reviewed journal articles and contribute to research proposals.

What is Required:

  • Ph.D. in Applied Mathematics, Computer Science, or the Physical Sciences/Engineering within the last 3 years, with a strong research background in applied mathematics, machine learning, and scientific computing.
  • Demonstrated research experience in development of physics informed machine learning.
  • Keen interest in extending mathematical and scientific computing techniques to new problems.

Desired Qualifications:

  • Knowledge of ferroic materials, such as ferromagnetic materials, and physical waves, such as electromagnetic waves.
  • Knowledge of microelectronic devices.

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 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 $6431-$8642 and is expected to start at $7843 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.
  • Work may be performed on-site, hybrid, The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States.

How To Apply
Apply directly online and follow the on-line instructions to complete the application process.

Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab’s mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

Equal Opportunity and IDEA Information Links:
Know your rights, click here for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4.