Choose your region

Select the region that best fits your location or preferences.

Choose your site language

This setting controls the language of the user interface, including buttons, menus, and all site text. Select your preferred language for the best browsing experience.

Choose your job languages

Select the languages for job listings you want to see. This setting determines which job advertisements will be displayed to you.

Doctoral student in multiscale modelling of effects of defects in composites
Chalmers University of Technology

Doctoral student in multiscale modelling of effects of defects in composites

2026-08-31 (Europe/Stockholm)
Save job

About the employer

Our goal is to focus on competence, knowledge and collaboration in order to play an important, demonstrable role in social development.

Visit the employer page

Do you want to join an international team of experts to develop efficient multiscale modelling tools for fibre-reinforced composites? Then consider this doctoral candidate position within LEGEND – a European doctoral network developing increased understanding of, and computational tools for studying the effects of defects in composite structures.

About us 

The Doctoral student position is placed at the Division of Computational Mechanics and Materials Engineering, which belongs to the Department of Mechanical Engineering. We foster an inclusive, friendly, and helpful work environment to which we welcome you to contribute. Our activities integrate computational mechanics and advanced materials technology, combining multidisciplinary expertise to predict, understand, and elevate the performance of engineering materials and structures.  

Within the project, you will also be connected to an international team of experts in the area of mechanics of composites through LEGEND – a Marie Sklodowska Curie Action doctoral network project. LEGEND, encompassing a collection of European research organisations and industries, will recruit 14 doctoral candidates, offering a lot of cross-over collaboration. For more information, please visit the LEGEND website.

About the research project  

This project aims to make the design of damage-tolerant composite structures faster, smarter, and more reliable. As a team, we will develop a computational framework that links small-scale material defects to large-scale structural performance, enabling accurate prediction of how defects affect strength, stiffness, and fracture behaviour.

By combining detailed meso-scale models including defects with an adaptive shell-based macro model, the research will deliver an efficient two-scale simulation tool suitable for real industrial applications. The project outcome will include practical design guidelines and a robust analysis framework that helps engineers assess damage tolerance quickly—supporting safer, more cost-effective composite design in industry.

The project will involve collaborations and secondments (in total 6 months during the first three years) at Airbus (Portugal), University of Kore (Italy) and Leonardo S.p.A. (Italy).

Who we are looking for

The following requirements are mandatory:

  • Documented experience (education/courses or thesis project with high grades) in continuum mechanics, the finite element method and the mechanics of fibre-reinforced polymers.

*for students with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted. 

Job details

Title
Doctoral student in multiscale modelling of effects of defects in composites
Location
Maskingränd 2 Gothenburg, Sweden
Published
2026-07-03
Application deadline
2026-08-31 23:59 (Europe/Stockholm)
2026-08-31 23:59 (CET)
Job type
PhD
Save job

Jobs from this employer

Showing jobs in English, German, French, Dutch Change settings

About the employer

Our goal is to focus on competence, knowledge and collaboration in order to play an important, demonstrable role in social development.

Visit the employer page

This might interest you

...
Why KTH Is the Ideal Place to Shape the Future Through Your Work KTH Royal Institute of Technology 5 min read
...
Bringing Artificial Intelligence Into the Real World Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) 4 min read
...
Six Reasons to Join MBZUAI: Where Research and Innovation Meet Opportunity Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) 4 min read
More stories