Job Description
The candidate is expected to conduct research in the area of interest and in collaboration with other members of Skoltech Center for Energy Systems. Successful candidates will have considerable freedom in pursuing their research interests.
Priority Research Areas
Complexity of modern Power Systems requires an ever-increasing sophistication of theoretical methods to support their safe and effective operation and control. Skoltech Center for Energy System is a hub for development of new original mathematical approaches to analyze and control Power Systems. Current topics of interest include static and dynamic stability, assessment of risk, and data-driven analysis. Underlying mathematical methods vary greatly depending on the project and range from optimization methods and mathematical modeling to algebraic geometry and machine learning. We especially encourage to apply applicants with expertise or strong interest in one of the following topics:
- Numerical and Computational Methods
- Dynamical stability
- Mathematical Optimization and Mathematical Programming (convex optimization, LMI)
- Convex geometry
- Machine Learning
- Statistics and stochastic processes
The work requires close collaboration with MIT in the area of mathematical modeling and optimization.
Minimal Qualifications
Successful candidates will have
- a PhD in mathematics, applied mathematics, computer science, theoretical physics, or similar discipline
- experience of conducting independent research at graduate level
How to apply:
Interested candidates should send their curriculum vitae, a publication list, a research statement, and reprints of a few selected publications and arrange for 3 recommendation letters to be sent, to Polina Rumyantseva (p.rumyantseva@skoltech.ru). Please include in the Subject Line: YourLastName Application for Postdoctoral Position.
The position is available immediately, and the starting date is negotiable. Applications will be accepted until the position is filled. Selected applicants will receive a highly competitive compensation package (salary commensurate with experience, qualifications and previous publication record, housing allowance in case relocation to Moscow will be needed, medical insurance). Excellent travel and computing support will be provided. For further information, including research-related questions, please contact Dr. Anatoly Dymarsky (dymarsky@skoltech.ru).
Skoltech
Skolkovo Institute of Science and Technology (Skoltech) is a private graduate research university in Skolkovo, Moscow, Russia. Established in October 2011 in collaboration with MIT, Skoltech educates young leaders, advances scientific knowledge and fosters new technologies to address critical issues facing Russia and the world, Applying top international research and educational models, the university integrates the best Russian scientific traditions with twenty-first century entrepreneurship and innovation. By 2020, the postdoctoral community at Skoltech will grow to 300 researchers in all the core areas of the institute. Skoltech is committed to diversity and opportunity, and application materials will be considered without regard to the gender, race, or nationality of the applicant.
