Postdoctoral Researcher - Sensing & Power Systems

Pacific Northwest National Laboratory

Boise (ID)

On-site

USD 69,000 - 119,000

Full time

14 days+
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Flexible work schedule
Tuition assistance
Relocation
Backup childcare
Fertility support
Pension plan
401(k) with company match
Vacation and holidays

Job summary

Pacific Northwest National Laboratory (PNNL) invites applications for a Postdoctoral Researcher in the Energy Systems Engineering Group. The position focuses on power systems monitoring, statistical signal processing, and grid reliability challenges from evolving load and generation mixes.

Candidates will contribute to innovative research, publish results, and collaborate across disciplines. A PhD in electrical engineering or related field is required; strong MATLAB and Python skills and

Qualifications

  • PhD within past 5 years or within 8 months.
  • PhD in electrical engineering or related field preferred.
  • Proficiency in MATLAB and Python.
  • Strong foundation in power systems dynamics and familiarity with simulators.

Responsibilities

  • Support development of innovative, technically rigorous research approaches to modern power system dynamics.
  • Collaborate across diverse technical backgrounds to enable grid solutions.
  • Execute research tasks with increasing independence and manage small technical efforts.
  • Contribute to journal articles, conference papers, and technical reports.
  • Assist in proposals to expand capabilities and program objectives.

Skills

MATLAB
Python
Signal processing
Machine learning
Technical writing

Education

PhD in Electrical Engineering
Postdoctoral experience
GPA 3.5+

Tools

PSS/E
PowerWorld
PSCAD

Job description

Pacific Northwest National Laboratory (PNNL) invites applications for a Postdoctoral Researcher in the Energy Systems Engineering Group. The position focuses on power systems monitoring, statistical signal processing, and grid reliability challenges from evolving load and generation mixes.

Candidates will contribute to innovative research, publish results, and collaborate across disciplines. A PhD in electrical engineering or related field is required; strong MATLAB and Python skills and

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