Postdoc – Machine Learning

Brookhaven National Laboratory

Upton, New York, United States
Base: $74,050 - $122,550 / year; bonus/equity: not...
Onsite
Ph.d. in computer science or related field
Strong theoretical understanding of machine learning
Practical experience with multimodal foundation models
The position offers a unique opportunity to conduct both basic and applied research in concert with collaborators working on diverse scientific and security problems

Job Summary

  • The position offers a unique opportunity to conduct both basic and applied research in concert with collaborators working on diverse scientific and security problems.
  • The successful candidate will have access to world-class computing resources including the BNL Institutional Cluster and DOE leadership computing facilities.
  • This is a fully onsite position located at Brookhaven National Laboratory in Upton, NY.

Matching Summary

The position offers a unique opportunity to conduct both basic and applied research in concert with collaborators working on diverse scientific and security problems.

Salary

Base: $74050 - $122550 / year; Bonus/Equity: Not specified; Benefits: Comprehensive employee benefits program included

Skills & Requirements

Must-have

  • Ph.D. in computer science or related field
  • Strong theoretical understanding of machine learning
  • Practical experience with multimodal foundation models
  • Demonstrated publication record in ML field
  • Excellent programming and computer science skills

Nice-to-have

  • Experience with large-scale deep learning systems
  • Experience in multi-modality data analysis
  • Experience working in multidisciplinary collaborations
  • Familiarity with agentic AI frameworks

Key Requirements

  • Ph.D. required by commencement of employment
  • Maximum 5 years post-PhD work experience allowed
  • Must possess REAL-ID compliant documentation for site access

Work Rights

REAL-ID compliant documentation required for site access

Tailored Resume

Cover Letter