Internship and thesis proposals

Criteria for selection
To find the right proposal !


































Number of proposals
4
1
Bosons and fermions in van der Waals heterostructures

Domaines
Condensed matter
Nouveaux états électroniques de la matière corrélée
Nanophysics, nanophotonics, 2D materials and van der Waals heterostructures,, surface physicss, new electronic states of matter

Type of internship
Expérimental
Description
The project focuses on mixtures of electrons (fermion) and excitons (electron-hole pair, a boson) in a new class of materials: van der Waals heterostructures. The latter can be seen as a “mille-feuille”, obtained by stacking atomically thin sheets of various materials. They recently became a prominent platform to study many-body physics, after a milestone discovery of superconductivity in bilayer graphene. Our long term ambition is to introduce superconductivity in a controlled manner, using excitons as force-carrier bosons (instead of phonons in conventional superconductors). The internship will pave the way toward this goal. It includes two steps, (i) the fabrication of the heterostructures and (ii) a first characterization with optical spectroscopy.

Contact
Bertrand Evrard
0652293023


Email
Laboratory : INSP - 7588
Team : NQMAG
Team Website
/ Thesis :    Funding :   
2
Information flow and polymer physics of gene activity

Domaines
Statistical physics
Biophysics

Type of internship
Expérimental et théorique
Description
Our project tackles the fundamental challenge of bridging the diverse temporal and spatial scales of biological development. From the nanoscale molecular interactions that occur in seconds to the formation of millimeter-to-meter-scale tissues over days, nature's complexity is staggering. This project seeks to unveil how information flows from molecular transcription factors to orchestrate tissue formation. This project employs a multidisciplinary approach, combining experimental techniques (quantitative microscopy) with theoretical modeling (polymer and statistical physics). It aims to decode the mechanisms governing the interplay between cellular regulation and tissue development. This research has broad implications for biophysics, developmental biology, and regenerative medicine.

Contact
Thomas Gregor
0140613692


Email
Laboratory : Pasteur - UMR 3738
Team : Physics of Biological Function
Team Website
/ Thesis :    Funding :   
3
SELF-ORGANIZED PATTERNING IN MAMMALIAN STEM-CELL AGGREGATES

Domaines
Statistical physics
Biophysics
Non-equilibrium Statistical Physics

Type of internship
Expérimental et théorique
Description
This research project aims to uncover the biophysical principles that enable mammalian embryonic stem cells to self-organize into synthetic organoid structures reminiscent of mouse embryos. Our approach blends mathematical modeling with precise single-cell measurements to investigate the emergence of positional and correlative information within differentiating stem-cell aggregates. By integrating theoretical predictions with experimental data, the project will compare dynamic information flow across various developmental systems, such as fly embryos and stem-cell-derived organoids. This interdisciplinary effort not only bridges quantitative and life sciences but also offers students a collaborative environment where they can take ownership of their research and help define the project’s direction.

Contact
Thomas Gregor
0140613692


Email
Laboratory : Pasteur - UMR 3738
Team : Physics of Biological Function
Team Website
/ Thesis :    Funding :   
4
FISH SCHOOLS AS SOFT ACTIVE MATTER

Domaines
Statistical physics
Soft matter
Physics of living systems

Type of internship
Expérimental et théorique
Description
Can the motion of animal collectives be described as the flows of soft active matter? To answer this question, we combine field studies of massive fish schools, extensive data analysis, machine learning, and mathematical modelling. Depending on your interests and the scope of your internship, you will contribute to a selection of these efforts. Reach out to learn more about our research!

Contact
Denis Bartolo
Laboratory : LPENSL - 5672
Team : LPENSL: BartoloLab
Team Website
/ Thesis :    Funding :   
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