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Machine Learning for Rare Earth Chemistry Postdoctoral Fellow
Lawrence Berkeley National Laboratory in Berkeley, California
Date Posted 05/15/2021
Admin-Tutors and Learning Resources
Employment Type
Application Deadline Open until filled

Lawrence Berkeley National Laboratory’s (LBNL) Computation Research Division is hiring for a Machine Learning for Rare Earth Chemistry Postdoctoral Fellow. This position will be responsible for research focused on developing machine learning approaches and data sets, and applying the methods to develop novel molecular systems for the extraction of rare earth elements from solution. In addition, this position will contribute to the development and/or advancement of open-source software tools, primarily in Python. The successful candidate will a part of an integrated team of experimental and computational chemists/physicists and machine learning algorithms developers that will design and deliver novel approaches that will break new ground in utilizing machine learning to solve complex critical materials chemistry problems, and provide a foundation for algorithmic development by the broader scientific and engineering scientific community.


What You Will Do:

  • Contribute to the understanding and development of new ligand chemistry to extract valuable rare earth elements.
  • Contribute to the development of new chemical and materials datasets for machine learning.
  • Contribute to the implementation of algorithms in open-source software machine learning frameworks.
  • As part of an interdisciplinary team, contribute to the design and execution of computational chemistry methods and machine learning approaches to solve relevant scientific problems.
  • Publish results in peer reviewed journals and conferences.


What is Required:

  • PhD degree in Quantum Chemistry, Physics, or a relevant field.
  • Strong fundamentals in computational chemistry methods for transition metals or heavy elements.
  • Experience with machine learning and deep learning network development, particularly using TensorFlow and similar frameworks.
  • Strong programming skills Python.
  • Ability to work collaboratively in an interdisciplinary team contributing to an active intellectual environment.
  • Excellent written and oral communication skills.
  • Programming skills in C/C++ are highly desired.



  • 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.


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."

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