Project title: Machine learning for structural analysis

Description:
Explore the cutting-edge intersection of artificial intelligence and structural analysis in our internship program at the Cyber-Physical Systems Laboratory. Participants will harness machine learning techniques to enhance the efficiency and accuracy of structural engineering applications.
As an intern, you will:
➔ Develop finite element models for various engineering structures.
➔ Design and implement machine learning models to leverage insights from finite element analyses.
➔ Contribute to calculating the load-bearing capacities of structures with improved precision.
This internship offers a unique opportunity to apply AI in structural analysis, driving advancements in the field. Ideal candidates should have a strong background in engineering, computer science, or a related discipline, with a passion for AI and structural analysis.
Join us to be at the forefront of integrating AI with structural engineering, making a tangible impact on the industry.

Candidates requirements:
➔ basic programming skills in Python
➔ basic machine learning frameworks
➔ basic finite element modeling skills in Abaqus

English language proficiency is not required.

Supervisor: Professor of the Practice Andreas Panayi & Senior Research Engineer Vladimir Emelianov

Internship duration: 1-2 months

The start date of the internship: now, latest start date March 31, 2025

Monthly compensation: With No compensation

Contact person: Andreas Panayi a.panayi@skoltech.ru

Description of the internship in Russian