Closing date: 14 June 2016
The Informatics Institute of the Faculty of Science is one of the large research institutes in the faculty, with a focus on complex information systems divided in two broad themes: 'Computational Systems' and 'Intelligent Systems'. The institute has a prominent international standing and is active in a dynamic scientific area, with a strong innovative character and an extensive portfolio of externally funded projects.
Background cell based blood flow modelling and simulation
Blood is a dense suspension of red blood cells, platelets and white blood cells, with many intriguing properties that are far from understood. We have developed a cell based blood flow model, relying on a combination of a Lattice Boltzmann Model for the suspending fluid, an Immersed Boundary Method for the fluid structure interaction, and a boundary element method for the mechanical properties of the individual cells. This model was used to probe deeper into the rheological properties of blood (shear thinning at high densities), as well as details of transport of platelets in non-trivial geometries (such as intracranial aneurisms). Moreover, biological models to account for adhesions and aggre- gation of platelets were added and used to study the initial processes involved in thrombosis in the context of high shear gradients.
and then apply this to study:
The research requires use of massively parallel computing sys- tems, and part of the research will also be on how to map the models to high-end (Tier0) parallel computers.
You will work in a team consisting of one other Postdoctoral researcher and three PhD candidates, all working on different aspects of cell based blood flow. Moreover, your position is embedded in a larger European project (ComPat), and you are expected to play a key role in this collaboration.
The Postdoctoral researcher should have a PhD degree in either Computational Physics, Computational Science, or related disciplines. The applicant should have relevant experience in modelling and simulation (blood cell) suspensions, and preferably have relevant experience with using Lattice Boltzmann models and with High Performance Computing.
We seek a researcher being able to collaborate with researchers working on other topics, thus forming a bridge between their own domain and collaborators with the larger European project. Candidates should be able to work in an international multi-disciplinary team.
Further information can be found here