PhD Positions

Currently listed open PhD positions have the following timeframe:

  • Application deadline: 31 July 2022 (see application period)
  • Start Date: 1 November 2022
  • Duration of PhD project: 3 years

Skoltech Center CDISE aims at the conduction of cross-cutting interdisciplinary research driven by modern applications in the fields of computational and data sciences. CDISE has accumulated 20+ research groups all with unique expertise in Russia and competitive at the world level in their prospective areas:


All PhD studentships in Skoltech are by default covered with a generous stipend of 75,000₽ in addition to health coverage for the duration of graduate studies, provided that academic standards are met, and progress towards a PhD degree is maintained. Check for more details in Skoltech policy on student stipends and other benefits.

Uncertainty Estimation in Machine Learning (Prof. Maxim Panov)

Memristor Technologies for Emerging Computing Systems (Prof. Dmitry Yudin)
Digital Metasurfaces for Wireless Terahertz Communications (Prof. Dmitry Yudin)

Machine Learning-based Stochastic Trajectories Characterization and Inpainting (Prof. Vladimir Palyulin)

Depth SLAM enhanced by Machine Learning (Prof. Gonzalo Ferrer)
Social Robot Navigation using Learning Techniques (Prof. Gonzalo Ferrer)

Machine Learning in Deorphanization of Potential Drug Targets (Prof. Natalia Strushkevich)
Computer Modeling of the Protein-Protein Interaction Inhibitors (Prof. Natalia Strushkevich)
Omics Mass Spectrometry-Based Technologies for Improving Personalized Medicine and Health (Prof. Christoph Borchers)
Development of Machine Learning Methods for Identification of Pathologies based on the Results of Multimodal Molecular Analysis of Dry Blood Spots (Prof. Evgeny Nikolaev)
Development of Machine Learning Methods for Identification of Cancerous Tissues based on Histology, Immunohistochemistry, and Imaging Mass Spectrometry Data (Prof. Evgeny Nikolaev)
Small Molecule Property Prediction using Molecular Modeling & Deep Learning (Prof. Petr Popov)
Computational Design of Proteins with Target Properties Using Molecular Modelling & Deep Learning (Prof. Petr Popov)
Computational Prediction of Point Mutation Effects using Molecular Modeling & Deep Learning (Prof. Petr Popov)

Investigation of Neurological Diseases Through Video, Wearables and Machine Learning (Prof. Andrey Somov)
Assessment of Physical and Mental Conditions of eSports Players Through Sensing Technologies and Machine Learning (Prof. Andrey Somov)
Embedded Deep Learning for Precision Agriculture (Prof. Andrey Somov)

High-Performance Computing in Extreme Laser Physics (Prof. Sergey Rykovanov)
Deep Learning in Scientific Simulations on Supercomputers (Prof. Sergey Rykovanov)

For more details, please get acquainted with the CDSE PhD program details and PhD admission procedure.