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PhD Simulation-assisted design and control of microfluidic chips for particles

PhD Simulation-assisted design and control of microfluidic chips for particles

Irène Curie Fellowship
Mechanical Engineering


We are looking for a PhD candidate for a four-year research project on design and control microfluidic chips that capture the behavior of highly deformable particles in complex flow fields. In this project, you will carry out a simulation-assisted design of different geometries for microfluidic chips starting from a simple channel. With such chips, low-to-high order deformation modes can be isolated. Guided by the designs tested via numerical simulations, you will create corresponding microfluidic devices to validate the simulations in real-world experiments, which will also exploit model predictive control to manipulate the fluid flow and particles with precision.

Job Description

Colloidal dispersions of soft particles are complex fluids consisting of soft particles in the range of nano- to micrometers suspended in a fluid medium. The deformability of these particles is a key characteristic, which enables them to move and squeeze through small spaces and narrow gaps. For example, the deformability of red blood cells allows them to flow smoothly through narrow blood vessels. When soft particles are suspended in a fluid and subjected to hydrodynamic interactions they can undergo complex deformations and rearrangements, which can have a significant impact on their behavior. The deformability of soft particles means that their shape can change as they interact with the fluid, making their behavior challenging to predict, both theoretically and experimentally. This fundamental coupling between particle deformation and hydrodynamic interactions requires direct measurements of particle deformation under specific flow conditions, which then provide essential information for the development theoretical models. The goal of this project is, hence, to design and control microfluidic chips that capture the behavior of highly deformable particles in complex flow fields via well-controlled flows that generate isolated low-to-high order deformation modes.


We are looking for an experienced candidate with an MSc degree (or about to obtain one soon) in mechanical engineering, applied physics, applied mathematics or similar. The candidate should have knowledge of fluid mechanics, continuum mechanics, and numerical methods combined with strong programming and mathematical skills and a good physical intuition. Experience with optimal control methods is a plus. The ideal candidate has excellent scientific skills as well as excellent soft skills related to verbal and written communication (in English).


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:

  • Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
  • 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. €2,770 max. €3,539).
  • 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.

Informatie en sollicitatie

About us

Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. 

Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view the video.


Do you recognize yourself in this profile and would you like to know more?
Please contact dr. Monica E. A. Zakhari, (m.e.a.zakhari[at]

Visit our website for more information about the application process or the conditions of employment.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.


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

  • cover letter (max 1 page) in which you describe your motivation and qualifications for the position.
  • detailed Curriculum Vitae.
  • brief description of your MSc thesis.
  • grade list (transcripts) for your BSc and MSc grades.
  • list of references with full contact information (including the supervisors of your final BSc and final MSc projects).

We look forward to receiving your application and will screen it as soon as possible. Promising candidates will be contacted by email. Starting date for the position is as soon as possible / autumn (but can be discussed).