We are looking for a PhD candidate for a four-year research project on modelling and simulations of the morphology of soft permeable particles for 4D printing applications. In this project, you will implement the shape of soft permeable particles in a particle-based Brownian Dynamics computational framework, develop tools to characterize non-spherical interacting permeable particles, and investigate the effect of shape dynamics on the mechanical behavior of soft permeable particle suspensions.
Complex matter offers ample opportunity for design of new material and new industrial techniques such as 4D printing. Soft colloidal suspensions, in particular, can be used as smart building blocks for responsive materials – their size and their ability to swell and deform in response to different stimuli enables their integration in emerging applications at the micro and nanoscales. However, full control over their properties remains an experimental challenge, for instance common classification of soft colloidal particles is based on elasticity but ignores permeability. While synthesis of long-sought colloidal architectures is possible, autonomous shape-dependent assemblies of multi-particle systems remains an engineering challenge. To this end, mesoscale models provide the versatility demanded to study efficiently both their shape and size dynamics independently. Dynamic simulation of soft ellipsoids can reveal a richer phase diagram than hard spheres or hard ellipsoidal system, with dynamics playing a fateful role. The goal of this project is, hence, to investigate the effect of shape and size dynamics of interacting soft permeable colloidal particles on the mechanical behavior of suspensions designed for 4D printing.
We are looking for an experienced candidate with a MSc degree (or about to obtain one soon) in mechanical engineering, applied physics, applied mathematics or similar. The candidate should have knowledge of continuum mechanics and numerical methods combined with strong programming and mathematical skills and a good physical intuition. Experience with rheology or multi-scale modelling are a plus. The ideal candidate has excellent scientific skills as well as excellent soft skills related to verbal and written communication (in English).
Do you recognize yourself in this profile and would you like to know more? Please contact
dr. Monica E. A. Zakhari, (m.e.a.zakhari[at]tue.nl).
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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. Only complete applications will be considered. Review of applications will begin immediately and continue until the position is filled. Promising candidates will be contacted by email. Starting date of the position is as soon as possible.