PhD: Data-Driven Design of Architected Materials

DTU Engineering Technology; Ballerup; On-site; DKK 360,000 - 420,000; Full time

Benefits offered by this job

No specific perks listed

Job summary

DTU Engineering Technology invites applications for a 3-year PhD scholarship in data-driven design and analysis of architected materials. The project focuses on data-centric methods, virtual structure generation, and interpretable learning to advance materials-by-design.

Collaboration across DTU campuses and international partners is emphasized. The ideal candidate has a background in solid mechanics, materials, and machine learning, with supervision duties and dissemination of results through

Qualifications

• Two-year master's degree or equivalent.
• Experience in solid mechanics.
• Experience in materials science.
• Experience in numerical techniques.
• Experience in machine learning algorithms.

Responsibilities

• Generative design of cellular architected materials.
• Multi-fidelity computational modeling.
• Graph representation learning and explainability.
• Active dissemination of 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

Graph learning

Education

Two-year Master’s degree (120 ECTS)

Tools

Finite element analysis

Computational geometry

Geometric deep learning

Job description

DTU Engineering Technology invites applications for a 3-year PhD scholarship in data-driven design and analysis of architected materials. The project focuses on data-centric methods, virtual structure generation, and interpretable learning to advance materials-by-design.

Collaboration across DTU campuses and international partners is emphasized. The ideal candidate has a background in solid mechanics, materials, and machine learning, with supervision duties and dissemination of results through