Postdoc on AI-based Surrogate Modeling of Fatigue of Composites

Research / Academic

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. 


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
  • The candidate 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.

Salary Benefits:

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.


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