Postdoc: Scientific ML for Fluid & Plasma Dynamics

ReadyGoNuke; Oak Ridge (TN); On-site; USD 50,000 - 65,000; Full time

Benefits offered by this job

Medical and Retirement Plans

Flexible Work Hours

Prescription Drug Plan

Dental Plan

Vision Plan

401(k) Retirement Plan

Contributory Pension Plan

Life Insurance

Disability Benefits

Generous Vacation and Holidays

Parental Leave

Legal Insurance with Identity Theft保护

Employee Assistance Plan

Flexible Spending Accounts

Health Savings Accounts

Wellness Programs

Educational Assistance

Relocation Assistance

Employee Discounts

Job summary

ReadyGoNuke is seeking a postdoctoral researcher in Oak Ridge, TN to develop scalable AI and ML models for fluid and plasma dynamics. You will design efficient algorithms and training methods while collaborating with multidisciplinary scientists and contributing to technical papers.

The role requires a Ph.D. in a relevant field, strong background in scientific AI/ML, and programming skills. Experience with high-performance computing and multi-disciplinary research environments is preferred.

Qualifications

• Ph.D. in a relevant field is required.
• Strong background in scientific AI/ML and programming.
• Experience in HPC and multi-disciplinary research environments preferred.

Responsibilities

• Develop scalable AI/ML models for fluid and plasma dynamics.
• Design efficient algorithms and training methods.
• Collaborate with multi-disciplinary scientists and author technical papers.

Skills

Artificial Intelligence

Machine Learning

Computational Fluid Dynamics

Turbulence Modeling

Plasma Physics

Python

C++

Deep Learning

High-Performance Computing

Multi-Physics Simulations

Model Verification

Model Validation

Data Analytics

Scientific Research

Technical Writing

Interpersonal Skills

Education

Ph.D. in a relevant field

Job description

ReadyGoNuke is seeking a postdoctoral researcher in Oak Ridge, TN to develop scalable AI and ML models for fluid and plasma dynamics. You will design efficient algorithms and training methods while collaborating with multidisciplinary scientists and contributing to technical papers.

The role requires a Ph.D. in a relevant field, strong background in scientific AI/ML, and programming skills. Experience with high-performance computing and multi-disciplinary research environments is preferred.