Position Summary
The Department of Electrical and Computer Engineering invites applications for a postdoctoral scholar position in the area of power systems and smart grids. The successful candidate will engage in cutting-edge research, contribute to innovative projects, and support the team at the E-RESILIENCY Research Lab in advancing the field of power system stability, distributed energy resource (DER) integration, and smart grid resilience.
Key Responsibilities:
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Lead and manage research projects focused on power systems, smart grids, and DER integration.
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Develop and implement machine learning models, optimization algorithms, and hardware-in-the-loop (HiL) simulations to improve power system stability and efficiency.
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Mentor and supervise graduate students.
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Engage in entrepreneurial activities, with opportunities to establish a small business or startup.
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Write and submit high-quality research papers and proposals
Equal Employment Opportunity Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.
Required Degree
Doctorate -Ph.D. in Electrical Engineering, specializing in Power and Energy Systems
Minimum Requirements
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Ph.D. in Electrical Engineering, specializing in Power and Energy Systems.
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Demonstrated expertise in machine learning applications, optimization problems, and hardware-in-the-loop (HiL) testing.
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Proficiency in programming languages such as Python and C++
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Prior research experience in the area of power system stability and DER integration.
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Strong track record of publications
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Excellent written and verbal communication skills.
Desired Qualifications
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Experience in entrepreneurship or small business establishment is highly desirable
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Demonstrated experience in writing high-quality research papers and grant proposals
Required Application Materials
- CV,
- cover letter,
- Contact information for 3 references,
- and research and entrepreneurship plan
