Postdoc: Sensing & Measurement in Power Systems

Pacific Northwest National Laboratory; Carson City (NV); On-site; USD 69,000 - 119,000; Full time

Job summary

Pacific Northwest National Laboratory (PNNL) invites applications for a Post Doctoral Researcher focused on power systems dynamics and grid reliability. You will work at the intersection of monitoring, signal processing, and evolving grid challenges, using Python, MATLAB and commercial simulators.

The role emphasizes independent execution, collaboration across groups, and contributions to peer‑reviewed publications. Strong writing skills and experience with data analytics or ML are highly valued.

Qualifications

• PhD within the past five years (60 months) or within the next 8 months.
• PhD in electrical engineering or related field preferred.
• GPA 3.5 or higher preferred.
• Proficiency in MATLAB and Python.
• Experience with power systems simulators (PSS/E, PowerWorld, PSCAD).
• Strong technical writing and oral communication skills.

Responsibilities

• Support development of rigorous research approaches for modern power system dynamics and grid challenges.
• Collaborate with diverse researchers to contribute to grid solutions.
• Execute research tasks with growing independence and manage small, well-defined efforts.
• Publish journal articles, conference papers, and technical reports and present findings.
• Assist in developing new research ideas and proposal preparation.

Skills

Power systems dynamics

Statistical signal processing

Technical writing

Data analytics

Machine learning

AI applications

Oral communication

Education

PhD in electrical engineering

GPA 3.5+

Tools

PSS/E

PowerWorld

PSCAD

MATLAB

Python

Git

Job description

Pacific Northwest National Laboratory (PNNL) invites applications for a Post Doctoral Researcher focused on power systems dynamics and grid reliability. You will work at the intersection of monitoring, signal processing, and evolving grid challenges, using Python, MATLAB and commercial simulators.

The role emphasizes independent execution, collaboration across groups, and contributions to peer‑reviewed publications. Strong writing skills and experience with data analytics or ML are highly valued.