Software Engineer F/M (forward and inverse problems for diffusion MRI)

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Type de contrat : CDD

Niveau de diplôme exigé : Bac + 5 ou équivalent

Fonction : Ingénieur scientifique contractuel

Niveau d'expérience souhaité : Jeune diplômé

A propos du centre ou de la direction fonctionnelle

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 with the Institut Polytechnique de Paris .

The centre has 39 project teams , 27 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.

Contexte et atouts du poste

This is a one year software developer position in the area of forward and inverse methods for solving diffusion problems, located in the Idefix Team at Inria Saclay, within the Unité de Mathématiques Appliquées (UMA), ENSTA Paris, on the Ecole Polytechnique campus.

 

Mission confiée

SpinDoctor 1.0 is a stand-alone Matlab Toolbox that performs numerical simulations for diffusion magnetic resonance imaging. See https://github.com/SpinDoctorMRI/SpinDoctor and  Publications

Since the publication of SpinDoctor 1.0, important new functionalities have been developed and we would like to incorporate them into SpinDoctor. 

The person recruited is responsible for SpinDoctor code development and publication on GitHub and will take initiatives for code testing and optimization.

The tasks include :

 

Constructing realistic neuron geometries appropriate for simulations;

Laplace eigenfunctions and eigenvalues of tissue geometries will be computed and stored so that a large number of diffusion MRI experiments can be simulated much faster than with conventional methods;

Pre-compute and store the pair-wise moments of Laplace eigenfunctions for a large dataset of neurons and glia cells so users can directly compute the diffusion MRI signals without computing eigenfunctions;

 

 

Principales activités

Main activities :

  • Test and optimize SpinDoctor code;
  • Publish SpinDoctor 2.0 on Github;
  • Publish User Guide;
  • Work with developers and users on new functionalities.

 

 

Compétences

Technical skills and level required :

Ease with programming in Matlab, knowledge of Python. Experience with solving partial differential equations using finite elements, and familarity with numerical solvers of ordinary differential equations and numerical linear algebra. 

Languages : French or English

 

 

 

Avantages

  • Subsidized meals
  • Partial reimbursement of public transport costs
  • Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
  • Possibility of teleworking and flexible organization of working hours
  • Professional equipment available (videoconferencing, loan of computer equipment, etc.)
  • Social, cultural and sports events and activities
  • Access to vocational training
  • Social security coverage

Rémunération

Remuneration : in regards to professional experiences