Postdoc on AI-based Surrogate Modeling of Fatigue of Composites

Postdoc on AI-based Surrogate Modeling of Fatigue of Composites

Published Deadline Location
21 Oct 26 Nov Delft

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Job description

This position is part of the Horizon Europe funded D-STANDART project. In this project we aim to reduce the time and cost to characterise the fatigue and durability properties of large composite structures with arbitrary lay-ups. Together with the project partners we will develop novel experimental methodologies and combine these with multi-scale, AI-assisted modelling to predict the fatigue life of full-scale structures. This position will contribute to the AI-based modeling of this project. In particular, it will be focused on understanding and analyzing the data collected through fatigue test and simulation.

In this position you will be expected to independently perform scientific research into physics-aware AI modeling of fatigue. Your activities will include creating a detailed plan in coordination with the other project partners to collect necessary experimental and synthetic data and analyze them, make an active AI model, and finally analysing and disseminating the results. Dissemination should occur both towards the other project partners, and to the wider community via conferences and academic journal articles. You will also be expected to contribute to the development of an industry focused training workshop and to assist in project management and administration. This may include participation in consortium meetings with other project partners.

The other partners in the D-STANDART project are the NLR, Universiteit Twente, University of Bristol, the NCC, iCOMAT, MSC Software, L-up, and Suzlon. You will be jointly supervised by Vahid Yaghoubi and Boyang Chen at the Faculty of Aerospace Engineering. 


Delft University of Technology (TU Delft)


We are looking for a highly talented and motivated PhD graduate with a background in machine learning and fatigue modeling that can act as a leader within the project and is able to successfully complete it. You will be working on this project in cooperation with the principal investigators at TU Delft, but will be expected to be the main driving force in realizing the (end) goals.

  • Experienced in Machine Learning and uncertainty quantification. 
  • Programming skills in Python/MATLAB is required. 
  • You should have a high degree of independence and should be capable of a good time- and project-management.
  • Ability to work in a team and take initiative.

Conditions of employment

Fixed-term contract: 2 years.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities (based on scale 10: € 3.226,00 - € 5.090,00 per month gross). A two year contract is offered for a position of 36-40 hours per week. The TU Delft offers a customisable compensation package, a discount on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged.

For international applicants, TU Delft has the Coming to Delft Service. This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a Dual Career Programme for partners and they organise events to expand your (social) network.


Delft University of Technology

Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!


Faculty Aerospace Engineering

The Faculty of Aerospace Engineering at Delft University of Technology is one of the world’s most highly ranked (and most comprehensive) research, education and innovation communities devoted entirely to aerospace engineering. More than 200 science staff, around 270 PhD candidates and close to 3000 BSc and MSc students apply aerospace engineering disciplines to address the global societal challenges that threaten us today, climate change without doubt being the most important. Our focal subjects: sustainable aerospace, big data and artificial intelligence, bio-inspired engineering and smart instruments and systems. Working at the faculty means working together. With partners in other faculties, knowledge institutes, governments and industry, both aerospace and non-aerospace. Working in field labs and innovation hubs on our university campus and beyond.

Click here to go to the website of the Faculty of Aerospace Engineering.


  • Postdoc
  • Engineering
  • 36—40 hours per week
  • €3226—€5090 per month
  • Doctorate
  • TUD04246


Delft University of Technology (TU Delft)

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