Research Physicist

Há 17 horas


Porto, Porto, Portugal Cnrs Tempo inteiro

**Job Title:** Research Physicist - Machine Learning Specialist

 

Cnrs Overview

Cnrs is a leading research institution in France, dedicated to advancing scientific knowledge and innovation. Our mission is to foster a collaborative environment where researchers can explore new ideas and technologies.

 

Estimated Salary: €45,000 - €55,000 per year

The estimated salary range for this position is based on the French national average salary for a postdoctoral researcher in physics, considering the location and the required skills.

 

Job Description:

We are seeking a highly motivated Research Physicist - Machine Learning Specialist to join our team at Cnrs. The successful candidate will work on developing machine learning algorithms to model the reflectance spectra of complex mixtures of colored materials from historical artworks.

 

Key Responsibilities:

  • Creation of reference mock-ups for colored material mixtures by acquiring reflectance spectra in the visible and near-infrared range, as well as XRF spectra.
  • Data augmentation using neural network-based encoder-decoder models to generate synthetic spectra based on pigment concentrations.
  • Applications of the dataset created combining both real and artificial spectra to train a neural network model capable of identifying pigments in mixtures.

 

Requirements:

  • Python programming skills.
  • Knowledge in machine learning algorithms, particularly encoder-decoder neural networks and transfer learning.
  • Expertise in reflectance and X-ray fluorescence imaging spectroscopies (optional).
  • Experience with multi-spectral dataset analyses (optional).

 

Work Environment:

The postdoctoral fellow will work mainly at the Centre de Recherche sur la Conservation (CRC) at the Museum National d'Histoire Naturelle, Paris 5ème, and at the Laboratoire de Chimie Physique - Matière et Rayonnement (LCPMR) at Sorbonne University, Paris 5ème.

 

Supervision:

The candidate will be supervised by Tsveta Miteva, specialist in machine learning, and Emeline Pouyet and Anne Michelin, physical chemist researchers, specialists in the characterization of heritage materials using non-invasive techniques.


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