Position
PhD-student
Irène Curie Fellowship
No
Department(s)
Mechanical Engineering
FTE
1,0
Date off
12/03/2023
Reference number
V35.6322
Job descriptionFlow through porous materials is subject to a large range of applications, including fuel cells, catalysts, subsurface CO2- and energy storage, which are essential for a sustainable future.
The PD project aims for the development of novel models addressing the upscaling of molecular processes happening along interfaces in porous materials using kinetic theory. The objective is to advance digital tools for material development used for the prediction and optimisation of flow processes, such as multiphase flow and reactive transport, in porous media.
Currently, most digital models addressing this topic are built upon arbitrarily set fitting parameters, for example, shape factors, reactivity indices and contact angles. These fitting parameters are used to bypass the lack of an adequate representation of the structural and chemical material characteristics. The work in our group focusses on the characterization of this properties using different nano- and molecular measuring techniques such as AFM and iGC. Your task will be to integrate the output of such measurements into existing computational frameworks. Within this project, you will collaborate with a team of experimentalists and computationalists addressing this topic in context of the various applications and publications mentioned above support PhD students in this context.
You will become a member of the Energy Technology team at the Mechanical Engineering Department with access to a range of different state of the art lab facilities and get the opportunity to collaborate within the international porous media community, including partners from academia and industry. Together we will work on a career development plan that supports your own ambitions in academia or industry.
The work is funded by the DeepNL programme.
Job requirementsWe welcome applications from candidates with a doctoral degree in any engineering or physical science discipline, with experience in computational fluid mechanics. The candidate should have demonstratable experience with coding and in collaborating with experimentalist.
Conditions of employmentA 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:
More information
Do you recognize yourself in this profile and would you like to know more? Please contact dr. Maja Rücker (m.ruckerattue.nl) or Michael Abdelmalik (m.abdel.malikattue.nl).
Please visit www. tue.nl/jobs to find out more about working at TU/e!
Application
We invite you to submit a complete application by using the 'apply now'-button on this page. The application should include a:
We look forward to your application and will screen it as soon as we have received it. Screening will continue until the position has been filled.