Postdoctoral Appointee – Researcher
| Company | Argonne National Laboratory |
|---|---|
| Location | Woodridge, IL, USA |
| Salary | $70758 – $117925 |
| Type | Full-Time |
| Degrees | PhD |
| Experience Level | Junior, Mid Level |
Requirements
- Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in Electrical Engineering.
- Onsite presence is required.
- Solid foundation in electric power distribution systems, power electronics hardware, and inverter control systems.
- Knowledge of EMT and phasor domain simulation using MATLAB/Simulink.
- Familiarity with using Opal-RT or similar real-time simulation platforms.
- Knowledge with designing, modeling, or hardware prototyping of power electronic converters.
- Proficiency in Python and/or C.
- Ability to work both independently and collaboratively in a team environment.
- Demonstrated experience in interdisciplinary research.
- Proven problem-solving and analytical skills.
- Skilled communication skills, both oral and written at all levels the organization.
- Record of publications in journals and conferences.
- Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork.
- Ability to make our laboratory a safe, welcoming, inclusive, and accessible environment where all can thrive.
Responsibilities
- Develop a functioning test bed using Opal-RT PHIL real-time platform, AC and DC power sources, power electronic converter modules, battery energy storage system, and AC/DC loads.
- Develop MATLAB/Simulink models for distribution and transmission systems that include inverter-based resources for performing real-time simulations in Opal-RT.
- Develop and prototype advanced control algorithms for grid forming and grid following inverters.
- Develop and demonstrate communication interfaces between Opal-RT, edge computing devices, OEM inverter using protocols like UDP, CAN, DNP3 etc.
- Aid with project management activities for DOE projects and developing safe operating procedures for hardware experiments.
- Collaborate with multidisciplinary teams to develop innovative solutions and technologies for complex challenges in energy systems and power grid domains.
- Present research findings through seminars, journal articles, technical reports, and at conferences and workshops.
- Contribute to open-source software development initiatives for Department of Energy projects.
Preferred Qualifications
- Working knowledge of power system protection and control.
- Familiarity with Machine Learning.
- Familiarity with power system analysis software such as MATPOWER, PSS/E, OpenDSS or similar.