PhD in Data-Driven Design of Architected Materials

DTU — Technical University of Denmark; Ballerup; On-site; DKK 360,000 - 480,000; Full time

Job summary

DTU Engineering Technology offers a 3-year PhD position focusing on data-driven design and analysis of cellular architected materials. The project combines virtual structure generation, mechanics, and interpretable learning to enable a materials-by-design approach for advanced materials with tailored functionalities.

The research is supervised by Associate Professor Stavros Gaitanaros and involves collaboration with DTU Construct and international partners.

Qualifications

• Experience with solid mechanics.
• Experience with materials.
• Experience with numerical techniques.
• Experience with machine learning algorithms.

Responsibilities

• Generative design of cellular architected materials.
• Multi-fidelity computational modeling.
• Graph representation learning and explainability.
• Active dissemination of the results in scientific articles.
• Participation in national and international conferences.
• Assisting with supervising B.Eng., B.Sc., and M.Sc. students.

Skills

Solid mechanics

Materials science

Numerical techniques

Machine learning

Finite element analysis

Education

Two-year master’s degree (120 ECTS)

Job description

DTU Engineering Technology offers a 3-year PhD position focusing on data-driven design and analysis of cellular architected materials. The project combines virtual structure generation, mechanics, and interpretable learning to enable a materials-by-design approach for advanced materials with tailored functionalities.

The research is supervised by Associate Professor Stavros Gaitanaros and involves collaboration with DTU Construct and international partners.