Welcome to CDISE!

Skoltech Center for Computational and Data-Intensive Science and Engineering (CDISE) aims at the conduction of cross-cutting interdisciplinary research driven by modern applications in the fields of computational and data sciences. Counting 26 professors, 50+ researchers, and 80+ PhD students, CDISE has accumulated several research groups with the expertise unique in Russia and competitive at the world level in their prospective areas. The Center is actively involved in collaboration with other Skoltech CREIs to provide expertise on data-intensive computational tasks.

The Center holds leading positions in Big Data processing, Machine Learning, and Artificial Intelligence – from theoretical foundations to application in various fields including supercomputer or High-Performance Computing (HPC) infrastructure. Find out more.

Another significant part of CDISE is the Center of Excellence (CoE) in Wireless Technologies and the Internet of Things under the National Technology Initiative (NTI). The CoE develops a cross-cutting WT or IoT technologies used for a multitude of purposes in a spectrum of diverse markets in Russia, such as the power sector, industries, healthcare, agriculture, etc. Find out more.

Educational programs and research areas

CDISE powers 2-year educational programs for MSc students at Skoltech:

Additionally, for prospective Ph.D. students, CDISE features a 4-year educational program – Computational and Data Science and Engineering (CDSE).

The core research areas include but are not limited to:

  • Machine Learning, Deep Learning, and Artificial Intelligence
  • Computational Soft Matter and Complex Systems
  • Efficient numerical algorithms
  • Digital Agronomics & Pharmaceutical Design
  • Chemo-informatics
  • Quantum Enhanced Computation and Simulations
  • High-Performance Computing (HPC)
  • Internet of Things
  • Biomedical Analytics and Systems
  • Computer Vision, Robotics, and Visual Analytics.

Research groups

Find out more about research groups.


We have a number of jobs in the fields of Mathematics, Statistics, and Machine learning. For more details, please refer to the Vacancies page.