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Eindhoven University of Technology (TU/e)

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Assistant Professor In Experimental Fluid Dynamics

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Description

The Department of Chemical Engineering and Chemistry at Eindhoven University of Technology (TU/e) is seeking an ambitious and innovative Assistant Professor in Experimental Fluid Dynamics to strengthen its internationally recognized research activities in transport phenomena and multiphase systems. This position offers a unique opportunity to develop an independent research line at the forefront of advanced flow diagnostics while collaborating with leading experimental and computational researchers in chemical engineering and related disciplines.

You will join a vibrant and collaborative academic environment with access to state-of-the-art laboratory infrastructure, strong industrial partnerships, and excellent opportunities to establish an internationally visible research program.

Information
We are looking for an outstanding researcher to establish and lead an innovative experimental research program focused on the development and application of advanced measurement and imaging techniques for multiphase reactive flows.

Research topics of interest include, but are not limited to:
  • Multiphase flows and reactive transport phenomena.
  • Flows in energy, sustainability, and circular process technologies.
  • Transport processes in porous media.
  • Process intensification and microfluidics.
  • Advanced optical and non-invasive measurement techniques.

Particular interest will be given to candidates with expertise in advanced diagnostics such as:
  • Particle Image Velocimetry (PIV).
  • Digital Image Analysis (DIA).
  • Structured Laser Illumination Planar Imaging (SLIPI).
  • Magnetic Resonance Imaging (MRI).
  • Other innovative imaging and sensing technologies.

The successful candidate will further strengthen TU/e’s internationally leading activities in transport phenomena by developing new experimental methodologies that provide unprecedented insights into complex reactive systems. The position offers unique opportunities to combine advanced diagnostics with emerging approaches such as machine learning, data science, operando measurements, digital twins, and autonomous experimentation.

Close collaboration with researchers across Chemical Engineering and Chemistry, Mechanical Engineering, Applied Physics, Mathematics & Computer Science, and industrial partners is strongly encouraged.

The successful candidate will:
  • Develop an internationally recognized and externally funded research program.
  • Supervise and mentor BSc, MSc, EngD, PhD candidates and postdoctoral researchers.
  • Publish in leading international journals and contribute to the scientific community.
  • Initiate and lead national and international research collaborations.
  • Contribute to the department's educational program through teaching and curriculum development.
  • Play an active role in strengthening the department's collaborative and inclusive culture.

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