PhD: Data-Driven Architected Materials Design

Technical University of Denmark; Ballerup; On-site; DKK 300,000 - 350,000; Full time

Job summary

DTU Engineering Technology invites applications for a 3-year PhD position focusing on data-driven design and analysis of architected materials. The project combines cellular architected materials with machine learning to build a rigorous data-centric framework for design and analysis, supervised by Associate Professor Stavros Gaitanaros.

The candidate will work across DTU Engineering Technology and DTU Construct with international collaborators, performing generative design, multi-fidelity

Qualifications

• Two-year master's degree (120 ECTS) or equivalent.
• Experience in solid mechanics, materials, numerical techniques, and machine learning algorithms.
• Interest in data-driven design and analysis of architected materials.
• Ability to work with colleagues at DTU across departments and with international partners.

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

Computational geometry

Geometric deep learning

Computational modelling

Education

Two-year master's degree (120 ECTS) or equivalent

Job description

DTU Engineering Technology invites applications for a 3-year PhD position focusing on data-driven design and analysis of architected materials. The project combines cellular architected materials with machine learning to build a rigorous data-centric framework for design and analysis, supervised by Associate Professor Stavros Gaitanaros.

The candidate will work across DTU Engineering Technology and DTU Construct with international collaborators, performing generative design, multi-fidelity