AI/ML Frontiers Fellow for Rubin Observatory Data

LSST Discover Alliance; United States; Remote; USD 80,000 - 100,000; Full time

Benefits offered by this job

Full health insurance

$12,000 annual research allowance

Dedicated GPU hardware access (NVIDIA)

Job summary

LSST Discover Alliance invites applications for the Vera C. Rubin Astronomy Frontiers Fellowship. The Fellow will pioneer AI/ML methods on LSST data using state-of-the-art GPU hardware at the Rubin Observatory facilities.

The two-year fellowship provides a competitive salary, health benefits, and a $12,000 annual research allowance, plus access to NVIDIA training and a leadership role in AI-driven astrophysics.

Qualifications

• Ph.D. earned between Jan 1, 2019 and Aug 2027 in astronomy, physics, data science, or related disciplines.
• Early-career/postdoctoral researchers with leadership potential in computational astrophysics or AI/ML.
• Host institution mentor required; overhead/indirect costs considerations documented.
• Open to English-speaking citizens of all nations; diversity encouraged.
• Research tied to Rubin Observatory LSST with substantial GPU allocation at Stanford/SLAC facility.

Responsibilities

• Develop AI/ML methods to analyze Rubin LSST data.
• Leverage dedicated NVIDIA DGX H200 GPU resources for research.
• Engage with the research community as ambassador for AI-driven astrophysics.

Skills

AI/ML methodologies

Computational astrophysics

Leadership potential

Education

Ph.D. in astronomy/physics/data science

Tools

NVIDIA DGX GPU resources

GPU clusters

Job description

LSST Discover Alliance invites applications for the Vera C. Rubin Astronomy Frontiers Fellowship. The Fellow will pioneer AI/ML methods on LSST data using state-of-the-art GPU hardware at the Rubin Observatory facilities.

The two-year fellowship provides a competitive salary, health benefits, and a $12,000 annual research allowance, plus access to NVIDIA training and a leadership role in AI-driven astrophysics.