PhD student for Stochastic Modeling of Rarefied Gas Flows (a) in Dübendorf

The doctoral researcher will focus on the development of stochastic methodologies for efficient computation of kinetic systems. Kinetic interactions of particles comprise challenging problems across different fronts of modeling, computation and analysis of fluids. From hypersonic and reentry flights to the high-energy chip lithography and membranes, we rely on kinetic descriptions. However, the modeling and numerical tools necessary to understand the multiscale nature of kinetic phenomena remain mathematically and computationally challenging. In particular, we are interested in developing Fokker-Planck based solution algorithms for efficient computation of gas flows across a wide range of rarefactions. The applications will deal with studying complex gas transport processes through mesoporous membranes, with overarching applications in gas separation and CO2 adsorption.

We are looking for a PhD student with strong analytical background, and MSc degree in Engineering, Applied Mathematics, Physics, or a related field. Professional command of English (both written and spoken) is mandatory. The successful candidate shows enthusiasm for conducting original research and strives for scientific excellence. Prior exposure to stochastic models and kinetic theory would be highly desirable.

We look forward to receiving your online application until 15th September 2023 including a letter of motivation, CV, diplomas with transcripts of all obtained degrees, a copy (either a link or upload) of the master thesis and additional publications (journal or conference papers) if available, and the contact details of two referees.