Data-driven mechanics

A fully funded PhD opportunity is available at University College London (UCL) through the UCL EPSRC Doctoral Landscape Award (UELA).

The project, "Data-driven multiscale design and optimisation of aperiodic architected materials", will be carried out in close collaboration with and co-sponsored by Spherene AG, a company developing advanced aperiodic minimal-surface architectures for additive manufacturing.

📍Application deadline: 8 January 2027
📍Start date: 1 October 2027

Full details and application information are available in the advert.

We are organizing a EUROMECH colloquium on data-driven mechanics and physics of materials, to be held on May 21-23, 2025, in Gothenburg. Topics of interest include (but are not limited to):

- Traditional and physics-enhanced machine learning for surrogate modeling
- Learning and exploiting latent representations of materials behavior
- Image-based machine learning methods
- Data-driven process modeling of materials
- Generative learning for material optimization
- Micromechanics-based data-driven methods for designing materials

A one-year post-doc position is available in our research group at the University of Houston with a start date of 1 September 2021. 

We are interested in understanding how microstructural aspects govern material failure. Our approach relies on formulating theoretical frameworks that are informed by experiments and implementing them computationally.

Join us to expand in more novel directions:

(i) Data-driven plasticity and failure;

(ii) Phase-field approaches to plasticity and failure;