Postdoc: ML for Arctic Earth System & Uncertainty

Los Alamos National Laboratory; Los Alamos (NM); On-site; USD 60,000 - 85,000; Full time

Benefits offered by this job

Medical insurance

Dental and vision insurance

Tuition assistance

401(k) matching

Flexible schedules

Relocation assistance

Job summary

Los Alamos National Laboratory is seeking a postdoctoral candidate skilled in machine learning and scientific computing to join a multidisciplinary team. The role focuses on developing innovative methods for Earth system science, integrating various models and simulations.

Candidates should possess a PhD in a related field, strong programming skills in Python, and experience with ML libraries. A Q security clearance is required.

Qualifications

• Experience in machine learning, scientific computing, or data‑driven modeling.
• Strong mathematical training in probability and statistics.
• Excellent scientific programming skills with modern ML libraries.

Responsibilities

• Develop machine learning capabilities for Earth system science applications.
• Collaborate with scientists on mission-relevant problems.
• Implement empirical validation and methodology development.

Skills

Machine learning

Scientific computing

Statistical methods

Scientific programming

Education

PhD in a relevant field

Tools

Python

PyTorch

JAX

Job description

Los Alamos National Laboratory is seeking a postdoctoral candidate skilled in machine learning and scientific computing to join a multidisciplinary team. The role focuses on developing innovative methods for Earth system science, integrating various models and simulations.

Candidates should possess a PhD in a related field, strong programming skills in Python, and experience with ML libraries. A Q security clearance is required.