PhD in Computational Methods for Rarefied and Partially Ionized Gases

Introduction

Rarefied-gas dynamics play a crucial role in many engineering systems that operate under extreme vacuum conditions such as in high altitude flight in aerospace or heat and mass transport in EUV semiconductor photolithography machines. Such extreme conditions can lead to partial ionization of the residual gas creating a complex interaction between the neutral rarefied gas and the ionized plasma.

This PhD project aims to develop a hybrid computational framework for plasma-gas mixtures in extreme environments. The approach will integrate deterministic mesoscale models for rarefied gas flows developed by the team at TU/e with stochastic microscale particle models from the group at KU Leuven.

The resulting hybrid methodology represents a transformative advance in computational modeling of plasma-gas interactions by combining accuracy and scalability while reducing stochastic noise. The framework will serve as a foundation for future extensions such as multiphysics coupling and industrial integration.

Job Description

This PhD project focuses on the development of fast accurate and multiscale computational methods for modeling partially ionized plasma flows. The work will involve:

• Deriving kinetic and enhanced fluid models for coupled rarefied gasplasma dynamics.
• Designing computational algorithms for the hybrid multiscale model.
• Performing numerical validation through benchmark cases in collaboration with industrial partners.

The successful candidate will join the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e) under the supervision of Dr. Michael Abdelmalik and Dr. Harald van Brummelen as well as the Scientific Computing group under Dr. Giovanni Samaey at KU Leuven.

The project is part of a joint research effort bringing together complementary expertise in fluid dynamics statistical physics and machine-learning methodologies along with industrial stakeholders who are actively involved in the development of rarefied technologies.

Job Requirements

• A talented motivated and enthusiastic researcher. Analytical skills initiative and creativity are highly desired.
• An MSc degree in Mechanical Engineering Applied Mathematics Computer Science Physics or equivalent degree.
• A strong background in applied mathematics (computational) physics mechanical engineering aerospace engineering or equivalent is required.
• A background in computational kinetic theory such as rarefied gases or plasma dynamics is a plus.
• Excellent oral and writing skills in English.

Conditions of Employment

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 addition we offer you:

• 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. 3059 - max. 3881).
• 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 childrens 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.

About us

Eindhoven University of Technology is a leading international university within the Brainport region where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact today and in the future. TU/e is home to over 13000 students and more than 7000 staff forming a diverse and vibrant academic community.

Information

Do you recognize yourself in this profile and would you like to know more Please contact the hiring manager dr. Michael Abdelmalik ().

Visit our website for more information about the application process or the conditions of employment. You can also contact .

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Application

We invite you to submit a complete application by using the apply button. The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae including a list of your publications and the contact information of three references. Kindly note that we may reach out to references at any stage of the recruitment process. We recommend notifying your references upon submitting your application.

Ensure that you submit all the requested application documents. We give priority to complete applications.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

Please note

• You can apply online. We will not process applications sent by email and/or post.
• A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check please consult the National Knowledge Security Guidelines.
• Please do not contact us for unsolicited services.