Reasearch internship : Exploring neurovascular dynamics in stroke using 4D Ultrasound Localization Microscopy

Reasearch internship : Exploring neurovascular dynamics in stroke using 4D Ultrasound Localization Microscopy

Context: Stroke remains a major global health challenge, with limited therapeutic options due to gaps in understanding microvascular responses during ischemia and recovery. Ultrasound Localization Microscopy (ULM), combined with row-column array (RCA) transducers, offers a breakthrough: 4D super-resolution imaging of cerebral blood flow at microscopic scales during stroke in mice. This technology enables real-time, volumetric visualization of neurovascular dynamics at microscopic scale, opening new avenues for preclinical stroke research – from studying vascular remodeling to assessing therapeutic interventions.

This internship will focus on analyzing RCA-ULM datasets to uncover microvascular biomarkers of stroke progression and recovery in mice models datasets.

Objectives

  • Investigate microvascular changes in mouse stroke models using 4D ULM datasets.
  • Develop quantitative approaches to characterize:
    • Perfusion dynamics during ischemia and reperfusion.
    • Dyanmic microvascular remodeling.
  • Explore the potential of RCA-ULM as a tool for preclinical neurovascular research

Approach

The intern will work with 4D ULM datasets, focusing on:

  • Registration and reconstruction of microvascular networks.
  • Visualization and quantification of dynamic vascular changes.
  • Collaboration with biologists to link imaging findings to stroke pathophysiology.

Candidate Profile

We welcome applicants with:

  • A background in physics, engineering, or biomedical sciences.
  • Strong competence in Matlab (preferred) or Python
  • Interest in brain, neurovascular biology and preclinical imaging.

This internship offers a unique opportunity to contribute to cutting-edge research at the intersection of ultrasound imaging and neuroscience, while working in a multidisciplinary environment that bridges technology and biology, providing hands-on experience in advanced imaging analysis.

Practical Details

  • Duration: 5–6 months (February–July 2026).
  • Location: Physique pour la Médecine Paris, INSERM.
  • Supervisor: Thomas Deffieux (thomas.deffieux@inserm.fr).

Interested candidates should send a CV and brief motivation statement