Energy Systems Data Science Postdoc: ML & Optimization

Battelle Energy Alliance; Idaho Falls (ID); On-site; USD 95,000 - 116,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k) with employer contribution

Paid time off

Tuition assistance

Relocation package

Educational program

Job summary

Idaho National Laboratory (INL) seeks a Postdoctoral Research Associate in electrical engineering, power and energy systems, or related fields for the Energy and Water Systems Analysis group in Idaho Falls. You will apply data science, ML, optimization, and reliability/risk analysis to hydropower, marine energy, and other power system assets, and contribute to software and data tools for decision support.

The role requires strong communication, Python proficiency, and experience with energy

Qualifications

• PhD in electrical engineering, power and energy systems, industrial/systems engineering, mechanical engineering, data science, operations research, computer science, or other relevant disciplines.
• PhD requirements must be completed by commencement of appointment and within the previous 5 years.
• Demonstrated oral and published written communication skills in English.
• Proficiency in Python.
• Experience applying data analytics and machine learning to engineering or energy systems problems.
• Experience with reliability analysis, risk assessment, or mathematical optimization.

Responsibilities

• Write scientific manuscripts for journal publication and contribute to proposals for continued funding.
• Present research results at conferences and sponsor meetings.
• Apply data science, ML, optimization, and reliability/risk analysis to hydropower, marine energy, and power system assets.
• Develop software and data tools to support decision making in energy research.

Job description

Idaho National Laboratory (INL) seeks a Postdoctoral Research Associate in electrical engineering, power and energy systems, or related fields for the Energy and Water Systems Analysis group in Idaho Falls. You will apply data science, ML, optimization, and reliability/risk analysis to hydropower, marine energy, and other power system assets, and contribute to software and data tools for decision support.

The role requires strong communication, Python proficiency, and experience with energy