Interdisciplinary PhD: Image processing for structured illumination microscopy and application to axonal nano-dynamics

KEY WORDS

CITY

COUNTRY

France

DETAILS OF THE OFFER

Working place: NeuroCyto team, INP, CNRS-AMU UMR 7051

Missions:

Structured illumination microscopy (SIM) achieves a resolution of around 120 nm, while being compatible with the imaging of living cells. Its application to sensitive samples such as neurons requires improvements to both the cell markers used and the reconstruction algorithms that are at the heart of the method's improved resolution. Christophe Leterrier (a specialist in nanoscopy of the neuronal cytoskeleton) and Emmanuel Soubies (a leading expert in microscopy image processing) are working together on a new algorithm called FlexSIM, which enables optimum resolution to be obtained even from noisy images. Funded by the Mission for transverse and interdisciplinary initiatives at CNRS (MITI), the work of a PhD student with dual skills in cellular imaging and algorithms will enable FlexSIM to be extended: Python coding, GPU acceleration, deep learning denoising, in order to observe for the first time the formation and dynamics of the actin-spectrin scaffold along the axon of living neurons.

Qualifications:

We are looking for candidates with a master’s and interdisciplinary background in bioimage processing, quantitative neurobiology, advanced microscopy. Skills in coding (Matlab/Python/GPU) and microscopy are central, and experience with algorithmic design, super-resolution microscopy and cellular biology are a plus. Taste for interdisciplinary work, team spirit, ability to interact and collaborate with junior researchers and general sense of camaraderie and motivation to learn are a must.

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TYPE OF JOB

TYPE OF CONTRACT

CDD (temporary / 36 months)

REMUNERATION

APPLICATION DEADLINE

EMPLOYMENT START DATE