Teams at Technical University of Denmark (DTU)

PhD researcher will develop cohesive zone models for crack growth in composite and damage-tolerant materials using finite element modelling and experimental testing. Responsibilities include implementing mixed-mode traction-separation laws in ABAQUS, conducting fracture mechanics laboratory tests, comparing simulations with experimental results, investigating microscale damage using AE, SEM, and X-ray tomography, and co-supervising student projects.

Conduct PhD research on AI-augmented Systems Engineering by designing and validating an AI assistant that creates and reasons over machine-readable SysML 2.0 models. Responsibilities include developing AI methods and model harnesses, formalizing engineering knowledge, evaluating solutions with industry partners, using local AI infrastructure, publishing research, teaching, supervising students, and helping establish a new research lab. A two-year master's degree or equivalent is required.

Conduct computational research to design unconventional photoactive molecules with targeted photophysical properties. Develop quantum chemistry workflows for excited-state modeling and use high-throughput screening, machine learning, and evolutionary algorithms to search chemical space. The work targets applications in OLEDs, photovoltaics, bioimaging, and photodynamic therapies. The position is a three-year PhD scholarship requiring a relevant master’s degree, computational chemistry experience, Python knowledge, and HPC experience.