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We are always glad to meet new excellent students and look for them to join our team.

Please contact  Alex Liberzon directly with your CV and the desired research topics. See through the website for some ideas, but don’t stop there, feel free to suggest your own project idea.

COVID-19 internships - no tuition, remote, self-motivated

We are interested to start something new – in a view of the COVID-19 problem, many international and local candidates cannot participate in the experimental research, but would like to get the training and knowledge on the major parts of experimental fluid mechanics. We are offering new open science positions to the interested candidates:

  1. We provide remote training on the experiment, tools and procedures using video conferencing, online lectures, reading assignments, programming exercises and remote participation

  2. We provide the real data collected in one of the experiments

  3. You process and analyze the data

  4. We discuss the results and we jointly write an academic paper, of course with the continuous guidance and assistance of the lab teammates that performed the experiments, research collaborators on this project, and the head of the laboratory.

If this concept is interesting for you – please write directly to Please contact  Alex Liberzon directly with your CV and the desired research topic.

Present data cases and ideas open for the discussion:

  1. Solid particles crossing turbulent/non-turbulent interfaces in two stratified liquid layers

  2. Solid particles impacting on the half-spherical cavity in high Reynolds turbulence air flow

  3. Development of a serverless PIV method – pay for your PIV analysis at lighting speed on the AWS or GCP

  4. Bridge 3D-PTV with the DIC methods to obtain mechanical stress on the living biological tissue of macroalgae

  5. Use OpenPIV in the cloud (either Google Cloud, AWS, Azure, AWS Lambda) to run the tests for the WASHSTREET experiment (see also here and here and the paper with similar results is here ) or use the pre-validated dataset from (30.6 Gb) and compare to the existing works.

  6. Develop Stereoscopic PIV version for OpenPIV, bridging between OpenPTV and OpenPIV