Ansök senast: 2024-12-03
Research Engineer in AI
Level of qualifications required:
Graduate degree or equivalentFunction:
Temporary scientific engineerLevel of experience:
Recently graduatedAbout the research centre or Inria department
The Inria Saclay-Île-de-France Research Centre was established in 2008. It has developed as part of the Saclay site in partnership with
Paris-Saclay University
and
Institut Polytechnique de Paris .The centre has
40 project teams , 32 of which operate jointly with Paris-Saclay University and the Institut Polytechnique de Paris; its activities occupy over 600 people, scientists and research and innovation support staff, including 44 different nationalities.Context
The engineer will be part of the OPIS project team, reporting to team leader Emilie Chouzenoux. The project will be carried out in collaboration with E. Chouzenoux and J.-C. Pesquet (OPIS), and C. Lefort, CNRS research scientist at XLIM, Limoges.Assignment
CARS microscopy (Coherent Anti-Stokes Raman Scattering) is an advanced nonlinear optical imaging technique that provides vibrational information about biomedical samples. The key advantage of CARS microscopy is its ability to deliver label-free spectroscopic information. The use of broad-spectrum laser sources, known as "supercontinuum," has been introduced to explore the full range of sample vibrations. This is referred to as M-CARS, or Multiplexed CARS. Additionally, the spectral detection capability of the dedicated instrument enables hyperspectral M-CARS imaging, allowing the collection and analysis of a wide light spectrum for each pixel in an image.The recruited engineer will be tasked with investigating artificial intelligence (AI) solutions to efficiently process these data and extract the discriminative information they contain. A hyperspectral M-CARS database recorded from muscle tissue will be used, where the myosin network is clearly identified by SHG, a well-known contrast method.The goal is to identify the spectroscopic signature using hyperspectral M-CARS and AI solutions. The mission involves developing an AI strategy to retrieve this discriminative information.Main activities
Understand the image processing problemAnalyze the databaseDeploy a supervised AI approach to solve the problemWrite scientific reportsParticipate in scientific meetings with collaboratorsSkills
Proficiency in the Python programming language and the PyTorch or TensorFlow environment is required.Experience in machine learning / neural networks is strongly recommended.Theme/Domain:
Optimization, machine learning and statistical methodsInstruction to apply
Warning:
You must enter your e-mail address in order to save your application to Inria. Applications must be submitted online on the Inria website. Processing of applications sent from other channels is not guaranteed.Defence Security:
This position is likely to be situated in a restricted area (ZRR), as defined in Decree No. 2011-1425 relating to the protection of national scientific and technical potential (PPST).Recruitment Policy:
As part of its diversity policy, all Inria positions are accessible to people with disabilities.
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