Supervisors: Sergey Shumilin, Head of Research Group 

Description:

The phase spaces of many dynamical systems have a manifold structure, and accounting for this structure when training models—such as Neural ODEs—improves model quality. This internship focuses on developing methods that incorporate this geometric structure. A key application area for such methods is robotics.

Internship duration: 3 months

The start date of the internship: May 25, 2026

Candidates’ requirements:

-Basic knowledge of ODEs

-Basic ML knowledge

Monthly compensation: Upon successful completion of the internship, there is an opportunity to join the Skoltech AI Center team.

Contact person: Sergey Shumilin, s.shumilin@skoltech.ru