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Postdoc Power Systems Jobs (NOW HIRING)

New York University

POSTDOCTORAL ASSOCIATE

New York, NY · On-site

$62K - $67K/yr

Description POSTDOCTORAL ASSOCIATE New York University Tandon School of Engineering NYU Tandon ... Conducting advanced research in machine learning and data analytics for power system operation and ...

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$59K

$83.5K

How much do postdoc power systems jobs pay per year?

As of Jun 5, 2026, the average yearly pay for postdoc power systems in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Postdoc in Power Systems, and why are they important?

To thrive as a Postdoc in Power Systems, you need a PhD in electrical engineering or a related field, with strong expertise in power system modeling, analysis, and research methodologies. Proficiency with simulation tools such as MATLAB/Simulink, PSCAD, or PowerWorld, as well as programming languages like Python or C++, is typically required. Exceptional analytical thinking, problem-solving abilities, and strong written and verbal communication skills help you stand out in collaborative research environments. These competencies are essential for advancing innovative solutions, publishing impactful research, and contributing effectively to academic or industrial projects in the evolving field of power systems.

What are some common challenges faced by postdocs working in power systems research, and how can they be addressed?

Postdoctoral researchers in power systems often encounter challenges such as balancing independent research with collaborative projects, keeping up with rapidly advancing technologies, and managing the expectations for publishing high-impact papers. Navigating interdisciplinary collaborations with engineers, data scientists, and industry partners can also require strong communication skills. To address these challenges, it's helpful to proactively seek mentorship, participate in regular team meetings to stay aligned on project goals, and allocate dedicated time for both research and professional development.

What are Postdoc Power Systems?

Postdoc Power Systems refers to postdoctoral research positions focused on power systems engineering and related fields. These roles typically involve advanced research on the generation, transmission, distribution, and optimization of electrical power systems, often addressing challenges such as grid integration of renewable energy, smart grids, and system reliability. Postdoctoral researchers in this area work in academic, government, or industry settings, collaborating on projects, publishing research, and sometimes mentoring students. The role is ideal for those seeking to deepen their expertise and contribute to innovations in power systems before pursuing faculty or industry positions.

What is the difference between Postdoc Power Systems vs Power Systems Engineer?

AspectPostdoc Power SystemsPower Systems Engineer
Required CredentialsPhD in Electrical Engineering or related fieldBachelor's or Master's in Electrical Engineering, often with professional licensure
Work EnvironmentResearch labs, universities, academic settingsUtility companies, consulting firms, industry projects
Employer & Industry UsageAcademic institutions, research organizationsPower generation, transmission, distribution companies
Common Search & Comparison IntentResearch roles, academic positionsIndustry roles, engineering positions

Postdoc Power Systems typically involves research and academic work with a PhD, focusing on advancing power systems knowledge. Power Systems Engineers work in industry, applying engineering principles to design, operate, and maintain power systems. While both roles require electrical engineering expertise, Postdocs are research-focused, whereas Power Systems Engineers are industry-focused.

Infographic showing various Postdoc Power Systems job openings in the United States as of May 2026, with employment types broken down into 78% Full Time, 9% Part Time, 1% Temporary, and 12% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.
Postdoctoral Appointee - Machine Learning, Control, and Cybersecurity for Power Systems

Postdoctoral Appointee - Machine Learning, Control, and Cybersecurity for Power Systems

Argonne National Laboratory

Lemont, IL • On-site

$72K - $121K/yr

Full-time

Posted 20 days ago

Job description

The Energy Systems and Infrastructure Assessment Division at Argonne National Laboratory is seeking a highly motivated Postdoctoral Appointee to support research on AI-enabled monitoring, control, and cyber-resilient operation of distribution systems and networked microgrids. The successful candidate will contribute primarily to the control and cybersecurity thrusts of a multi-institutional project focused on AI-enabled resilient operation of distribution systems and networked microgrids under uncertainty, disturbances, and cyber-physical threats.
This position is best suited for a candidate with strong expertise in machine learning for cyber-physical systems and a solid understanding of electric power distribution systems, and microgrid operations. The selected candidate will develop and evaluate advanced algorithms for applications such as secure and adaptive control, anomaly and attack detection, resilient decision-making, and AI-enabled operational support for highly distributed grids. The postdoctoral appointee will work closely with multidisciplinary teams at Argonne and partner institutions and is expected to contribute to both methodological innovation and practical validation using simulation, co-simulation, or hardware-relevant environments.
Primary Responsibilities:
  • Develop machine learning and AI methods for control, optimization, and cyber-resilient operation of distribution systems, DER, and networked microgrids.
  • Design and implement reinforcement learning, game-theoretic, or robust decision-making approaches for adaptive control of DER and microgrids under uncertainty and adversarial conditions.
  • Develop methods for cyberattack detection, anomaly identification, intrusion-aware control, and resilient system recovery in cyber-physical energy systems, including DER-rich distribution networks.
  • Integrate domain knowledge from power systems with modern ML methods to create physics-informed, interpretable, and operationally relevant solutions.
  • Build and evaluate models using realistic utility or test-system data, simulation platforms, and digital-twin or real-time environments as appropriate.
  • Collaborate with researchers across power systems, controls, cybersecurity, and AI/ML to develop publications, technical reports, software tools, and project deliverables.
  • Present research results at technical meetings, workshops, and leading conferences, and publish in high-impact journals.

Position Requirements
  • Recent or soon-to-be completed (typically within the last 0-5 years ) Ph.D. in Computer Science, Electrical Engineering, or a related field.
  • Demonstrated research expertise in AI and machine learning, with application to power systems, control, optimization, or cybersecurity.
  • Programming skills in Python and experience with at least one modern machine learning framework such as PyTorch or TensorFlow.
  • Demonstrated experience in at least one of the following: reinforcement learning, control or optimization for cyber-physical systems, anomaly detection, cybersecurity for operational systems, or decision-making under uncertainty.
  • Working knowledge of electric power systems, with emphasis on distribution systems, microgrids, or inverter-based resources.
  • Evidence of scholarly research productivity, such as peer-reviewed journal papers, conference publications, technical reports, or an equivalent research record.
  • Skilledritten and verbal communication skills and the ability to work effectively in a multidisciplinary research environment.
  • Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork.
  • This position requires an on-site presence at the Argonne campus in Lemont, Illinois.

Preferred Qualifications:
  • Direct research experience at the intersection of machine learning and power system operation, especially for distribution systems, and microgrids.
  • Experience with power system simulation or analysis tools such as OpenDSS or similar platforms.
  • Experience with real-time simulation, co-simulation, digital twins, hardware-in-the-loop, or testbed-based validation.
  • Experience working with utility, field, or experimentally derived datasets relevant to grid operations, control, or cybersecurity.
  • Experience contributing to collaborative research software, reproducible workflows, or open-source tool development.

Application Procedure:
Interested candidates should submit:
  • A detailed CV
  • A cover letter describing your research experience and interests.
  • GitHub profile (if available)

Job Family
Postdoctoral
Job Profile
Postdoctoral Appointee
Worker Type
Long-Term (Fixed Term)
Time Type
Full time
The expected hiring range for this position is $72,879.00-$121,465.00.
Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.
Click here to view Argonne employee benefits!
As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

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