Senior AI/ML Scientist for Synchrotron Data Analytics

Brookhaven National Laboratory

Upton (NY)

On-site

USD 154,000 - 235,000

Full time

14 days+

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Job summary

Brookhaven National Laboratory in Upton, NY is seeking a scientist to advance AI and ML developments for synchrotron applications, focusing on data acquisition, online processing, and data management to speed experiments.

You will work in the Data Science and Systems Integration group (DSSI) with beamline teams, collaborating with scientists and sponsors to disseminate AI techniques for light source science.

Qualifications

  • PhD degree in Physics, Biology, Computer Science, Science or similar area.
  • At least 10 years of experience in synchrotron light source science.
  • Curiosity, good communication skills and ability to work in large multi‑disciplinary teams.

Responsibilities

  • Development of innovative machine‑learning based algorithms for data acquisition and online data processing.
  • Organize data, meta‑data standards, provide mechanisms for distributing data and analysis tools for integration of NSLS‑II results in a broader context.
  • Conduct original research project exploiting machine learning for synchrotron applications with NSLS‑II science programs.
  • Work with scientists and engineers at NSLS‑II, user groups and research sponsors to disseminate knowledge about the use of artificial intelligence and machine learning for light source science applications.

Skills

Machine learning
Data analysis
Communication skills
Team collaboration

Education

PhD degree in Physics, Biology, CS, Science or similar

Tools

Python CUDA/OpenCL

Job description

Brookhaven National Laboratory in Upton, NY is seeking a scientist to advance AI and ML developments for synchrotron applications, focusing on data acquisition, online processing, and data management to speed experiments.

You will work in the Data Science and Systems Integration group (DSSI) with beamline teams, collaborating with scientists and sponsors to disseminate AI techniques for light source science.

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