Abdominal Aortic Aneurysms (AAA) are local dilatation of the abdominal aorta. Endovascular aneurysm repair (EVAR) is a procedure in which a stent graft is placed in the aneurysm to block blood flow in the aneurysm. Type II endoleaks are a persistent problem after an EVAR procedure. They are characterized by the reversal of blood into the aneurysmal sac from side branches and growth of the aneurysm thereof. The reasons for the occurrence of type II endoleaks in some patients is an open question fundamentally, the fluid mechanical aspects that lead to reverse flow to the aneurysm sac from side branches remain an enigma.
In this project you will develop a computational model within the lattice Boltzmann method (LBM) based framework Musubi to incorporate aspects related to flow reversal. You will apply the simulation model to answer a complex question in physiology. Direct collaboration with the R&D department of Medtronic and the Rijnstate hospital in Arnhem will be available. You will be employed at the Engineering Fluid Dynamics group of the University of Twente (UT). You will have exposure to high performance computing resources, clinical data as well as flow experiments conducted in collaborating groups within UT like the Multi-Modality Imaging (M3i) and Physics of Fluids (PoF) groups. Your doctoral advisors will be Asst. Prof. Dr. Kartik Jain and Prof. Dr. Michel Reijnen.Your profile
You can apply for this position before January 19, 2023 by clicking the ‘apply now' button below. Please include:
For more information on this position, please contact Kartik Jain (firstname.lastname@example.org).
The first (online) job interview will take place on Thursday, January 26.About the organization
The Faculty of Engineering Technology (ET) engages in education and research of Mechanical Engineering, Civil Engineering and Industrial Design Engineering. We enable society and industry to innovate and create value using efficient, solid and sustainable technology. We are part of a ‘people-first' university of technology, taking our place as an internationally leading center for smart production, processes and devices in five domains: Health Technology, Maintenance, Smart Regions, Smart Industry and Sustainable Resources. Our faculty is home to about 2,900 Bachelor's and Master's students, 550 employees and 150 PhD candidates. Our educational and research programmes are closely connected with UT research institutes Mesa+ Institute, TechMed Center and Digital Society Institute.How to apply Step 1
Apply. When you see a vacancy that appeals to you, you can apply online. We ask you to upload a CV and motivation letter and/or list of publications. You will receive a confirmation of receipt by e-mail.Step 2
Selection. The selection committee will review your application and you will receive a response within 2 weeks after the vacancy has been closed.Step 3
1st interview. The 1st (online or in person) meeting serves as an introduction where we introduce ourselves to you and you to us. You may be asked to give a short presentation. This will be further explained in the invitation.Step 4
2nd interview. In the second interview, we will further discuss the job content, your skills and your talents.Step 5
The offer. If the conversations are positive, you will be made a suitable offer.Want to know more Jain, K. (Kartik)
Assistant ProfessorJain, K. (Kartik)
Do you have questions about this vacancy? Then you can contact Kartik for all substantive questions about this position and the application procedure. For general questions about working for the UT, please refer to the chatbot.Contact
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