The integrity of biological tissues is actively maintained by cells. Applicable knowledge about how cells do this is of crucial importance to understand tissue diseases and to develop preventive treatment. The CELLSYSTEMICS project, which this PhD position is part of, aims to tackle these challenges in the clinical context of ascending aortic aneurysm. The core challenge is to tackle the complexity of the system of interrelated mechanisms within cells. This requires a structured identification framework, which will be developed in this PhD position.
This PhD project aims to uniquely and comprehensively characterize the cell mechanobiology at the intra-, inter-cell, as well as cell-matrix levels by using existing state-of-the-art tools and by further developing the theory and the algorithms based on novel system identification and data-driven modelling approaches. The envisioned system identification framework is aimed to be developed for the investigation and exploitation of cellular system dynamics from a control systems perspective. A bottom-up approach will be followed, focusing on capturing (intra)cell-level dynamics before cell-to-cell and cell-to-matrix dynamic models are developed.
We are looking for a candidate who meets the following requirements:
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:
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.
The CS group research activities span all facets of systems and control theory, such as linear, nonlinear and hybrid systems theory, model predictive control, machine learning for modelling and control, modelling and identification and formal methods in control. The CS group has a strong interconnection with other academic institutions and industry via national and European funded projects in a diverse range of application areas, often focusing on interdisciplinary research.
The PhD will join the group and interact with the other members of the CS group (around 40 researchers). Furthermore, the project is part of a larger research consortium where he/she will interact with a mix of academic and industrial research partners. Research within the CS Group is characterized by personal supervision. The PhD will have access to the advanced courses offered by the Dutch Institute for Systems and Control, and will be able to attend national and international scientific conferences.
For more detailed information on the activities of the group please check http://tue.nl/cs/.
Do you recognize yourself in this profile and would you like to know more?
Please contact dr. ir. Maarten Schoukens m.schoukens[at]tue.nl.
Have a look in our lab: https://www.youtube.com/watch?v=JaEXPI8gJbU.
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