PhD in cell-scale modelling for high-throughput screening 100 %

Job vacancy: From now on

Description

The Marie Skłodowska-Curie doctoral training network “PREDICTOR” is made up of 22 partners. The network will recruit a total of 17 doctoral candidates for project work lasting for 36 months.

School: School of Engineering
Starting date: 1. April 2025 or earlier

Your role
The goal of the announced doctoral thesis is to develop cell scale models of redox flow batteries. This includes a macroscopic thermodynamically consistent membrane model for integration into cell-scale models and experimental model parameterization. Interaction with other doctoral students will be important, e.g. to incorporate homogenised porous electrode models into the continuum-scale modelling framework. The doctoral thesis will also focus on developing an industrial application for the redox flow battery models.

Your profile
In accordance with the European Union's funding rules for doctoral networks, applicants must NOT yet have a PhD
The applicant must not have resided or carried out her/ his main activity (work, studies etc.) in Switzerland for more than 12 months in the past 3 years.
Excellent master's degree in computational science, physics, mathematics, engineering, or a related discipline
Familiarity with mathematical modelling and numerical methods for ordinary and partial differential equations
Experience in modelling and simulation of physical- and/or chemical- processes based on thermodynamics
Strong interest in working in a cross-disciplinary, collaborative project at the interface of electrochemistry and mathematical modelling
Experience in at least one programming language for scientific computing (C/C++, Matlab, Wolfram Language (Mathematica), Python, Julia, ...)
Good communication skills and willingness to work in collaborative projects with multiple partners and present results at conferences, project meetings and partners
Very good English language skills (German is beneficial)
Self-motivation and the ability to achieve goals independently as well as to contribute effectively to the team

This is what we stand for
Zurich University of Applied Sciences ZHAW is one of Switzerland's largest multidisciplinary universities of applied sciences, with over 14'000 students and 3'400 faculty and staff.