PhD Position on Computational Fluid Dynamics (CFD) modelling of Metal Electrodeposition

We invite applications for a fully funded PhD position in the field of numerical modelling of iron electrodeposition, i.e., multiphase flows involving phase change, using fully resolved CFD methods. This position is part of the newly funded project EcoIron of Prof. Y. Tang by a European Research Council (ERC) starting grant.

Information
Low-temperature electrolysis (/electrodeposition) converting iron oxide/ore into metallic iron has received increasing attention as it offers a truly zero-emission ironmaking for applications of green steel production and iron-based energy storage. One problem, fundamental understanding of metal electrodeposition is largely lacking. Knowledge gaps remain on the exact mechanisms of conversion from solid oxides to metallic iron, as well as the exact physics and operation parameters controlling the quality and morphology of iron deposits. This PhD project aims to leverage our state-of-the-art scientific understanding via filling these knowledge gaps from a numerical perspective, complementing to additional two experimental PhD projects. The research will involve development of a (particle-liquid-bubble) multiphase CFD model fully resolving phase change at interfaces, optionally coupling to electrochemisty and electromagnetics. Interface tracking/capturing methods such as immersed boundary method, level-set method, volume-of-fluid, phase filed method are options for model development.

We are looking for motivated and curious PhD candidates with the following qualifications:

• A master’s degree (or an equivalent university degree) in Chemical Engineering, Mechanical Engineering, Computational Science, Applied Physics, or a related discipline.
• Solid background in classic multiphase flow CFD techniques (e.g., DNS, VOF, LS, IBM).
• Strong programing skills in at least one scientific computing language (beneficial: for Basilisk).
• Beneficial, but not a must-have: previous experience in numerical modelling of electrolysis.
• A research-oriented attitude.
• Ability to work in an interdisciplinary team and subject.
• Motivated to develop your teaching skills and coach students.
• Fluent in spoken and written English (C1 level).

We also welcome applicants from a computational science background who are enthusiastic about developing a deeper understanding of physics-based simulations and modelling.

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• A dynamic and supportive research environment in a leading computational modelling group.
• Full-time employment for four years, with an intermediate assessment after nine months. You will spend a minimum of 10% of your four-year employment on teaching tasks, with a maximum of 15% per year of your employment.
• Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. € 3,059 max. € 3,881).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• An allowance for commuting, working from home and internet costs.
• A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.