The department of Mathematics at KTH is offering a two-year postdoc position. The research project will focus on the continued development and extension of a numerical method based on an integral equation formulation for the simulation of viscous drops in microfluidic flows. Surfactants that are soluble in the bulk fluid(s) play a key role in the drop dynamics. The project will extend the method in the commonly encountered, yet challenging, low-diffusion regime. A formulation involving a time convolution integral will be explored, together with a computational acceleration using a fast multipole type method. Depending on the candidate’s interests and background, the project may also include components of machine learning. The project spans theory, algorithms, software, and applications.
Up to 20% of the position may include teaching or supervision duties.
Great emphasis will be placed on personal skills.