Position PhD-student
Irène Curie Fellowship No
Department(s) Mechanical Engineering
FTE 1,0
Date off 06/10/2024
Reference number V35.7707
Simulation-based design is a powerful tool assisting the development and maintenance of many engineering systems, for example in the high-tech, robotics or automotive domains. However, their increasing complexity in materials, components and physical requirements push classical model-based simulation techniques to their limits. Such systems are often modelled by coupling separate subsystems of dynamical equations with highly heterogeneous properties. The reasons for such a modular approach are to support component-based design, different type of model hierarchies, or to allow for a multiphysical characterization of their dynamics. The repeated simulation, e.g., for optimization of such complex interconnected systems leads to prohibitively large simulation times, which makes an automated design process unfeasible.
One way to overcome this is by creating cheaper surrogate models, that are faster to evaluate. However, this come at the cost of accuracy. Recently, great advancements have been made in the field of data-based surrogate modelling, which uses machine learning methodologies to construct these reduced models. The aim of this project is to develop a framework to construct and analyse such (data-based) surrogate models of coupled dynamical systems with kinematic constraints.
Job Description
Within this project you will work on developing a framework that enables the fast simulation of engineering systems that are (partially) modelled with a multibody systems approach. For that, you will use a data-based surrogate modelling approach and study appropriate simulation techniques for the resulting coupled, heterogeneous dynamical systems with constraints described with differential-algebraic equations. The main challenges and workpackages are:
Embedding
You will execute this project in the Autonomous and Complex Systems group of the Dynamics and Control (D&C) section at the Department of Mechanical Engineering of the Eindhoven University of Technology.
The mission of the Dynamics and Control Section, which consists of 22 faculty members and 45 researchers, is to perform research and train next-generation students on the topic of understanding and predicting the dynamics of complex engineering systems in order to develop advanced control, estimation, planning, and learning strategies which are at the core of the intelligent autonomous systems of the future: Designing and realizing smart autonomous systems for industry and society.
Moreover, the project will offer you an extensive training program in the scope of the Graduate School of Engineering Mechanics (https://engineeringmechanics.nl/), and, within TU/e, focusing on more generic and transferable skills required by professional researchers. This provides you with a solid background for your research and future career.
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
About us
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
Information
Do you recognize yourself in this profile and would you like to know more?
For information about the project please contact the main supervisor: I. Cortes Garcia (i.cortes.garcia@tue.nl).
Visit our website for more information about the application process or the conditions of employment. You can also contact HRServices.Gemini@tue.nl.
Are you inspired and would like to know more about working at TU/e? Please visit our career page.
Application
We invite you to submit a complete application by using the apply button.
The application should include a:
We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.
We are an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude.
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