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"TDA+ML Postdoctoral Scholar"

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TDA+ML Postdoctoral Scholar

Lawrence Berkeley National Lab's Applied Mathematics and Computational Research Division has an opening for a TDA+ML (Topological Data Analysis and Machine Learning) Postdoctoral Scholar to join the team.

In this exciting role, you will conduct fundamental and applied research in topological data analysis and machine learning, developing new mathematical and computational techniques for data analysis.

What You Will Do:

  • Perform fundamental research in topological data analysis and machine learning.
  • Design efficient algorithms at the intersection of these two fields.
  • Implement parallel algorithms for HPC systems.
  • Gain familiarity with scientific applications involving geometric and topological computations.
  • Publish and present research results in high-impact journals and top conferences in one or more of the following areas: computational topology, geometric machine learning, parallel computing.

What is Required:

  • PhD degree, within the last 3 years, in Computer Science, Computational Sciences, Applied Mathematics, or a related technical field.
  • Proficiency in a general-purpose, efficient programming language, e.g., C++ or Rust.
  • Proficiency in one or more of the popular scripting languages such as Python or Julia.
  • Familiarity with machine learning frameworks, e.g., PyTorch.
  • Ability to design and implement algorithms for computational topology, geometric learning, parallel computing.
  • Ability to publish in top journals and conferences.
  • Ability to conduct research in a highly collaborative environment.
  • Excellent verbal and written communication skills.

Desired Qualifications:

  • Software engineering tools: make, cmake, revision control systems (such as git).
  • Familiarity with geometric machine learning: generative models, equivariant models, models for point cloud data, etc.
  • Familiarity with one or more of the parallel libraries/languages: MPI, OpenMP, CUDA, SYCL.
  • Working experience with geometric and topological data structures.

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 $8,321 - $9,646 and is expected to start at $8,321 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 is 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.

Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov

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