Yali Tang
4 months ago
PhD Position on Computational Fluid Dynamics (CFD) Modelling of Metal Electrodeposition Eindhoven University of Technology in Netherlands
Degree Level
PhD
Field of study
Mechanical Engineering
Funding
Available
Deadline
Expired
Country
Netherlands
University
Eindhoven University of Technology

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Where to contact
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About this position
This fully funded PhD position at Eindhoven University of Technology focuses on computational fluid dynamics (CFD) modelling of metal electrodeposition, specifically ironmaking via low-temperature electrolysis. The project is part of the EcoIron initiative led by Prof. Yali Tang, supported by a European Research Council (ERC) starting grant.
The research aims to address fundamental knowledge gaps in the conversion mechanisms from iron oxides to metallic iron, which are crucial for green steel production and iron-based energy storage. The successful candidate will develop advanced multiphase CFD models that resolve phase changes at interfaces and may integrate electrochemistry and electromagnetics.
Model development will utilize interface tracking and capturing methods such as immersed boundary, level-set, volume-of-fluid, and phase field techniques. The position is embedded in the Department of Mechanical Engineering, which is renowned for its world-class research and strong industry collaborations, particularly in the Brainport region. The university offers a dynamic, interdisciplinary, and supportive research environment, with access to excellent technical infrastructure and professional development opportunities.
Employment is full-time for four years, with a competitive salary (scale P: €3,059–€3,881/month), year-end bonus, vacation pay, pension scheme, and additional benefits including allowances for commuting, home working, and internet costs. International candidates benefit from a dedicated Staff Immigration Team and a tax compensation scheme. Applicants should have a master’s degree in a relevant field, strong CFD and programming skills, and fluency in English.
The position includes teaching responsibilities (10–15% of time) and opportunities for personal growth. Applications must be submitted online and include a cover letter, CV, and references.
The vacancy remains open until filled, with a formal deadline of November 16, 2025.
Funding details
Available
What's required
Applicants must hold a master’s degree (or equivalent) in Chemical Engineering, Mechanical Engineering, Computational Science, Applied Physics, or a related discipline. A solid background in classic multiphase flow CFD techniques (such as DNS, VOF, LS, IBM) is required. Strong programming skills in at least one scientific computing language are essential (experience with Basilisk is beneficial). Previous experience in numerical modelling of electrolysis is advantageous but not mandatory. Candidates should have a research-oriented attitude, ability to work in interdisciplinary teams, motivation to develop teaching skills and coach students, and fluency in spoken and written English at C1 level.
How to apply
Submit your application online via the provided application link. Include a cover letter describing your motivation and qualifications, a 2-page CV with publications (if any), and contact information for two references. Applications sent by email or post will not be processed. The vacancy will remain open until filled.
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