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TDA+ML Postdoctoral Scholar

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College of Saint Benedict and Saint John’s University

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Location:
United States , Berkeley

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Category:
Research and Development

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Contract Type:
Employment contract

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Salary:

8321.00 - 9646.00 USD / Month
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Job Description:

Lawrence Berkeley National Lab’s (LBNL) 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.

Job Responsibility:

  • 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

Requirements:

  • 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

Nice to have:

  • 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

Additional Information:

Job Posted:
January 26, 2026

Expiration:
February 05, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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