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April 8, 2016

Skolkovo Institute of Science and Technology (Skoltech) is a unique English-speaking international graduate only research university, located in Skolkovo, just outside of Moscow. Established in collaboration with M.I.T., Skoltech is an integral part of the Skolkovo Innovation Center that comprises a complete high-tech city with a number of international R&D centers and start-up incubators, several of which are focused on quantum technology.

Skoltech’s Quantum Complexity Science Initiative conducts research on topics related to the theory of quantum computation, quantum physics and related fields.

Postdoctoral Positions

We have open postdoctoral positions.  Postdoctoral fellows will have a significant technical background, performed internationally visible research in their successful PhD and be able to work with the extremely bright and mathematically skilled students at Skoltech. Please contact us with your resume and a very brief statement clearly describing the topic which you find most interesting.

PhD Studentships

The Quantum Complexity Science Initiative at the Skolkovo Institute of Science and Technology is currently offering PhD and Masters student research projects to develop the theory of software that quantum computers will execute.

Experience in quantum computing is helpful but not required.  Students with strong backgrounds in an area of mathematical sciences with interest in quantum computing are encouraged to apply.

Planned research projects have a mathematical and numerical analysis flavor and focus more generally on the foundations of (i) non-stoquastic quantum annealing, (ii) quantum enhanced machine learning algorithms, (iii) quantum tensor network methods and (iv) the interrelations between tracks (i), (ii) and (iii).  The group has access to large-scale computing facilities.

Skoltech has a research portfolio covering a range of quantum and machine learning technologies.  This includes the Quantum Polariton Simulators Group by Pavlos Lagoudakis and Natalia Berloff as well as the Tensor Networks for Machine Learning Group by Ivan Oseledets and Andrzej Cichocki.  Collaborative projects related to these topics (i), (ii) and (iii) will also be considered.

Note that a PhD thesis should represent a significant body of research, which either addresses a currently accepted open problem or otherwise spearheads a novel research agenda.  In the case of the later, care must be taken to address the topic with significant mathematical techniques.  It’s not enough to have a new idea: analysis separates the potential of new ideas. A finished PhD thesis should be accepted as advancing the topic by the scientific community.  In this way, the exact topic is perhaps less important than the level that each person takes their specific topic under dedicated careful guidance.  Those wishing to conduct this level of research should get into contact.

Long-Term Visiting Studentships

In the past we have proudly hosted several successful long-term visiting PhD students, for durations of three-months up to a year and beyond.  These arrangements were made for truly exceptional students.  If you have a project in mind, contact us.

Information for Visitors

  • English is the institutes official language.
  • More information will be available here in time.
  • Register here for the (free) walking tours of Lomonosov Moscow State University held every Saturday and Sunday.

Some Regular and Past Visitors

  • John C. Baez, Center for Quantum Technologies and UCR
  • Sabre Kais, Purdue
  • Marco Lanzagorta, NRL
  • Seth Lloyd, MIT
  • Jason Morton, Penn State
  • George Musser Jr, Scientific American

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