Fully-funded Graduate Research/Teaching Assistant (GRA) positions, Department of Computer Science and Electrical Engineering (LCSEE), West Virginia University, United States

West Virginia ,United States

  • Posted Date: 10/25/2023
  • Expires on: 12/31/2023
  • Description:The Lane Department of Computer Science and Electrical Engineering (LCSEE) at West Virginia University is seeking highly motivated and creative graduate students for fully-funded Graduate Research/Teaching Assistant (GRA) positions. These positions are available for senior Bachelor’s and Master’s students, as well as advanced non-traditional students with relevant research and development experience in academia or industry in the Power Systems area.
    The LCSEE department is currently experiencing exponential growth in the Power Engineering area and has multiple open PhD positions for Fall 2023. These positions will focus on “Power System Resiliency and Optimization”, “Cybersecurity of Smart Power Grid” and “Power Systems Steady State and Dynamic Solutions including Modeling and Control” also utilizing advancements in Computational Artificial Intelligence.
    Successful applicants must meet the minimum admission requirements of the LCSEE Department and demonstrate potential for high-impact research. They will have access to advanced real-time simulation laboratory, smart grid hardware laboratory, and multi-million-dollar lane innovation hub at the Statler College of Engineering, depending on their research area and progress.
    As part of a highly collaborative and internationally recognized research team, successful candidates will have the opportunity to work on challenging power engineering problems and advance technologies to decrease the adverse effects of climate change. The opportunities span various areas of resiliency, optimization, cybersecurity, power system dynamics and control, data analytics, and quantum computing, utilizing recent advances in computational artificial intelligence of power and energy systems.
    Responsibilities of the GRA positions include conducting literature reviews and research in power systems, developing and integrating new algorithms to address recent challenges, designing and performing experiments to gather data, analyzing data using relevant software tools (PSCAD, RSCAD, Python, C, and MATLAB), writing research reports, research papers, and book chapters, presenting research findings at conferences and workshops, and assisting with teaching activities such as grading and mentoring undergraduate students.
    To qualify, applicants must hold a Bachelor’s or Master’s degree in Electrical Engineering with Power System emphasis, have a strong academic record with a GPA of 3.5 or higher, possess strong analytical and problem-solving skills, have proficiency in programming languages such as MATLAB, Python, or C/C++, have experience with power system simulation tools such as PSCAD or PowerWorld, have strong written and verbal communication skills, and be able to work independently and collaboratively as part of a research team.
    The GRA positions are fully funded 12-month positions for up to 3 years, including possible internship opportunities with world-class collaborators at national laboratories, academia, and industry.
    Applicants should submit their CV or resume, a statement of purpose outlining their research interests and career goals, transcripts (unofficial copies are acceptable), TOEFL scores, GRE scores (GRE NOT REQUIRED FOR UNIVERSITIES with ECE QS Ranking https://www.topuniversities.com/university-rankings/university-subject-rankings/2023/electrical-electronic-engineering?&page=20) and contact information for three references to Dr. Sarika Khushalani Solanki (skhushalanisolanki@mail.wvu.edu).
    The review of applications will begin immediately and will continue until the position is filled. Qualified applicants are encouraged to apply as soon as possible. Join us at West Virginia University and be part of an internationally recognized team that has the potential to impact critical areas of the power grid.

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