Postdoctoral and Research Intern positions, Skoltech-MIT joint project


Posting on behalf of a friend:

We are looking for two talented Postdoctoral fellows and two Research Interns for the joint project between Skoltech and MIT titled: Energy Systems Planning for Government Regulations: New Formulations, Models and Algorithms at the Center of Energy Systems of Skolkovo Institute of Science and Technology (Skoltech). This work is supported by Skoltech NGP Program (Skoltech-MIT joint project).

The position location is in Moscow, Russia. No knowledge of Russian language is required (language at Skoltech is English).
The deadline for receiving applications should be no later than December 27, 2017. The tentative starting date should be February/March 2018.
Interested candidates should contact me (

What we request

We seek candidates with strong competences in mathematical modelling, optimization, statistical analysis and machine learning. Knowledge of power systems and programming software (Julia software is a plus). Detailed information for each vacancy can be found below.
The Postdoctoral fellows are expected to possess a PhD or equivalent, preferably in operations research, control engineering, computer science, mathematics, or statistics. The Research Interns are expected to possess a MSc or equivalent in any of the above-mentioned areas.

What we offer

Skoltech offers a competitive compensation package that includes an attractive salary, housing allowance, and medical insurance.
The initial term of the position is for 1 year, with possibility of renewal, based on mutual interest.
A unique opportunity to work in collaboration within Skoltech and MIT. The accepted applicant will stay at Skoltech during the contract and potentially visit MIT for a short internship.

What we need from you

CV, including list of publications, summary of educational background and grades
Summary of work experience
Short research statement (maximum 3 pages)
At least two reference letters.

What vacancies are open

1 Postdoctoral Fellow and 1 Research Intern in the development of new electricity and gas network planning accounting for proper probabilistic representation of correlations and underlying physical laws.
The position will need skills preferably within power engineering, control engineering, operational research and/or some knowledge graphical models (machine learning). The ability to code and solve large-scale problems is positively accounted.

1 Postdoctoral Fellow and 1 Research Intern in the development of new software machine-learning-based framework and tools to express the complex energy-problems in a transparent semantic representation.
The position will need skills preferably within machine learning, operational research, statistics and software development. Additional knowledge on power engineering and control engineering is a plus.


More information about the project available here:

Energy Systems Planning for Government Regulations: New Formulations, Models and Algorithms

PI at Skoltech (David Pozo)
PI at MIT (Juan Pablo Vielma)


The energy networks, including power systems and natural gas systems, are in continuous profound evolution. During the last decade, this transformation turned into smart grids revolution. Many new technologies have appeared and they potentially will be integrated in near future. The technologies also lead to significant progress in new theoretical engineering methods and new potential algorithms for optimization, control and planning of the energy infrastructures. Those new algorithms are now data-enabled by better observability through the state-of-the-art solutions. However, there is a vast need of new and better mathematical algorithms for exploiting the potential of this technologies in energy systems.

Furthermore, energy infrastructures are generally regulated as vital for the security of the countries. An unfortunate drawback of this tight control of the critical energy infrastructures is the monopoly often resulting in the lack of incentives to incorporate modern technologies and theoretical engineering solutions into practice. To mitigate the negative effect of the tight regulations of the critical energy infrastructures, countries are investing into research providing critical guidance to government on updating or changing the regulations.

A set of electricity and gas network planning procedures and computational tools will be developed to implement robust planning based on new mathematical models and advance probabilistic modelling programming. The planning tools and procedures will allow the development of generalized guides of procedures, policies and grid codes specific for the grids of the future.