Hyperspectral compressive imaging using deep convolutional neural networks
Recrutement en cours/passé: 
Recrutement passé

The goal of this project is to demonstrate the feasibility of compressive fluorescence imaging, with the development of both the optical instrumentation and the deep learning-based reconstruction algorithms. The PhD position is funded for three years, starting in October 2019. It includes €5k support for travel and conference registrations. The applicant must hold a master's degree in optics and photonics, applied mathematics, or machine learning with a strong interest in medical imaging and programming.

Date: October 2019-September 2022

Salary: €1,850 gross monthly

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