We are currently inviting applications for PhD positions in Applied Information Theory, starting in November 2018.
Information theory and machine learning are closely related areas. Some ideas of information theory have been used for rather long time in data science (e.g., various entropy inequalities) and some emerged just recently (e.g., usage of error-correcting codes to improve the k‑means method for clustering). At the same time, modern communication systems use so‑called belief propagation algorithm, which was initially introduced to solve statistical inference problems.
Successful candidates will be expected to participate in the projects at the intersction of information theory, communications and machine learning with a special focus on application of the research results in communications, including engineering and industry problems. The main research areas are as follows:
See details here.
Funding is available for both Russian and international students: RUR 75,000 (EUR 1,200 equiv.) per month.
Prior to submitting an application, students are advised to contact assistant Prof. Alexey Frolov (.
Please submit a PhD application including:
through Skoltech Online portal, selecting “PhD” as the degree level, identifying Alexey Frolov as the prospective supervisor, and choosing “Computational and Data Science and Engineering” from the list of educational programs.
All documents should be submitted in English (the exceptions are diplomas in Russian).
The deadline for the applications submission for the Second Selection Round is July 29.
PhD Second Selection Round: September 6 – 7.
Information about Skoltech: http://www.skoltech.ru/en
Information about CDISE: https://crei.skoltech.ru/cdise/
Research group web site: http://sites.skoltech.ru/inftheory/
Queries regarding research interests: Assistant Prof. Alexey Frolov (
Queries regarding application process:
Skoltech is committed to diversity and opportunity, and application materials will be considered without regard to the gender, race, or nationality of the applicant.