Postdoctoral Fellow - Computer Science and Electrical Engineering

WEST VIRGINIA UNIVERSITY
BENJAMIN M. STATLER COLLEGE OF ENGINEERING AND MINERAL RESOURCES
LANE DEPARTMENT OF COMPUTER SCIENCE AND ELECTRICAL ENGINEERING

The Lane Department of Computer Science and Electrical Engineering in the Benjamin M. Statler College of Engineering and Mineral Resources at West Virginia University invites applications for a Postdoctoral Fellow in the general area of power and energy systems. This position supports research initiatives related to managing and optimizing battery storage and solar energy systems integrated into the electric grid and will primarily focus on projects related to health monitoring, distributed optimization, modeling, as well as data analytics and machine learning applications in monitoring, analysis, operation, and control of power grid system. The initial appointment is for 7 months with the possibility of extension (contingent on funding).

Responsibilities

Responsibilities will include but are not limited to the following\: conducting research on solar-rich power systems; attending research conferences and read scientific literature to keep abreast of technological advances and current research findings; identifying and assisting with acquisition of funding from public, private, and governmental sources; searching scientific literature to select and modify methods and procedures most appropriate for research goals; performing laboratory and field experiment activities according to protocol; writing and presenting research/study status reports for review; preparing results of research findings for presentation to colleagues, and the sponsor at professional/technical conferences; work closely with graduate/ undergraduate students, faculty members and industry partners to coordinate the project progress,  contribute towards top quality technical journal publications, as directed.

WEST VIRGINIA UNIVERSITY
BENJAMIN M. STATLER COLLEGE OF ENGINEERING AND MINERAL RESOURCES
LANE DEPARTMENT OF COMPUTER SCIENCE AND ELECTRICAL ENGINEERING

The Lane Department of Computer Science and Electrical Engineering in the Benjamin M. Statler College of Engineering and Mineral Resources at West Virginia University invites applications for a Postdoctoral Fellow in the general area of power and energy systems. This position supports research initiatives related to managing and optimizing battery storage and solar energy systems integrated into the electric grid and will primarily focus on projects related to health monitoring, distributed optimization, modeling, as well as data analytics and machine learning applications in monitoring, analysis, operation, and control of power grid system. The initial appointment is for 7 months with the possibility of extension (contingent on funding).

Responsibilities

Responsibilities will include but are not limited to the following\: conducting research on solar-rich power systems; attending research conferences and read scientific literature to keep abreast of technological advances and current research findings; identifying and assisting with acquisition of funding from public, private, and governmental sources; searching scientific literature to select and modify methods and procedures most appropriate for research goals; performing laboratory and field experiment activities according to protocol; writing and presenting research/study status reports for review; preparing results of research findings for presentation to colleagues, and the sponsor at professional/technical conferences; work closely with graduate/ undergraduate students, faculty members and industry partners to coordinate the project progress,  contribute towards top quality technical journal publications, as directed.

Professional Qualifications

A PhD in electrical engineering, computer science or related discipline and expertise in the power system operation and control are required at the time of appointment. Applicants must also have expertise in one of the following areas\: distributed optimization, data analytics and machine learning for the power system and solar monitoring applications; electric distribution system analysis.

West Virginia University is the comprehensive Land Grant University of the State of West Virginia, and a Carnegie Classification of Highest Research Activity (R1 University). The community lies within a high technology corridor that also includes several federal research facilities, such as the U.S. Department of Energy’s National Energy Technology Laboratory, NASA’s Independent Verification and Validation Facility (IV&V), the National Institute of Occupational Safety and Health (NIOSH) and the FBI, as well as private industry. The city is located within reasonable driving distances from Pittsburgh, PA and Washington, DC. Additional details on the area and the university are available at http\://www.morgantownwv.gov/ and http\://www.wvu.edu.

Application Instructions

To apply for this position, visit https\://careers.wvu.edu/career-opportunities. Applicants must submit a cover letter, curriculum vitae, and contact information for two professional references. Only candidates who submit complete documentation will be considered in the review process. For questions or additional information, contact Prof. Sarika Khushalani Solanki (email\: [email protected]) or Prof. Anurag K Srivastava, (email\: [email protected]). You may also visit the LCSEE website at https\://lcsee.statler.wvu.edu.

Professional Qualifications

A PhD in electrical engineering, computer science or related discipline and expertise in the power system operation and control are required at the time of appointment. Applicants must also have expertise in one of the following areas\: distributed optimization, data analytics and machine learning for the power system and solar monitoring applications; electric distribution system analysis.

West Virginia University is the comprehensive Land Grant University of the State of West Virginia, and a Carnegie Classification of Highest Research Activity (R1 University). The community lies within a high technology corridor that also includes several federal research facilities, such as the U.S. Department of Energy’s National Energy Technology Laboratory, NASA’s Independent Verification and Validation Facility (IV&V), the National Institute of Occupational Safety and Health (NIOSH) and the FBI, as well as private industry. The city is located within reasonable driving distances from Pittsburgh, PA and Washington, DC. Additional details on the area and the university are available at http\://www.morgantownwv.gov/ and http\://www.wvu.edu.

Application Instructions

To apply for this position, visit https\://careers.wvu.edu/career-opportunities. Applicants must submit a cover letter, curriculum vitae, and contact information for two professional references. Only candidates who submit complete documentation will be considered in the review process. For questions or additional information, contact Prof. Sarika Khushalani Solanki (email\: [email protected]) or Prof. Anurag K Srivastava, (email\: [email protected]). You may also visit the LCSEE website at https\://lcsee.statler.wvu.edu.

About WVU

West Virginia University is a place of purpose and community. We take pride in our profound impact on the state of West Virginia and are committed to the personal and professional growth of our employees.

From the groundbreaking R1 research at our flagship campus in Morgantown to the career-oriented programs at WVU Potomac State in Keyser, and the technology-intensive programs at WVU Tech in Beckley, the contributions of WVU employees resonate across the state, touching lives and shaping futures.

At WVU, you will discover a supportive community that champions work-life balance and fosters a collaborative atmosphere. Our core values — service, curiosity, respect, accountability and appreciation — unite us as Mountaineers.

Join us at West Virginia University, where your work will make a lasting impact. To learn more about WVU, visit wvu.edu.

West Virginia University is an Equal Opportunity Employer. We invite all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, genetic information, or Veteran status.