Post Doc Fellow – Power System Optimization
Department
Engineering Technology
Salary
Commensurate with Experience/Education
Description
Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops understanding and skills to allow for completion of assignments that cross fields of specialization. Develops leadership and management skills. 1. Receives/Reviews progress and evaluates results of experiments or projects under control or supervisory responsibility. 2. Recommends changes in research, testing or experimental procedures. 3. May be responsible for a single highly technical and complex piece of research equipment. 4. May review and evaluate the effectiveness of personnel. 5. May plan for and assign personnel to projects under control. 6. Operates with latitude for unreviewed action. 7. May receive general supervision conferring with higher levels only in unusual situations. 8. Performs other job-related duties as required.
The Postdoctoral Research Associate will conduct independent and collaborative research in optimization methods for power system operations and planning. Responsibilities include developing and analyzing optimization models for power system operations and electricity markets; conducting research in nonlinear, convex, and mixed-integer nonlinear optimization; designing and implementing advanced computational and algorithmic solutions; performing computational experiments and benchmarking studies; preparing manuscripts for submission to peer-reviewed journals and conferences; and collaborating with faculty members, graduate students, and external research partners. The position may also involve contributing to research proposals and supporting interdisciplinary research activities within the department.
Minimum Qualifications (MQ)
Requires singular knowledge of a specialized advanced professional discipline or the highest level of general business knowledge, normally acquired through attainment of a directly job-related terminal degree or equivalent formal training in a recognized field of specialization that is directly related to the type of work being performed. No experience is required.
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