2018-00979 - Research Engineer: Graphics for Learning and Validation

Contrat renouvelable : Oui

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

Inria is a national research institute dedicated to digital sciences that promotes scientific excellence and transfer.
Inria employs 2,400 collaborators organised in research project teams, usually in collaboration with its academic partners.
This agility allows its scientists, from the best universities in the world, to meet the challenges of computer science and mathematics, either through multidisciplinarity or with industrial partners.
A precursor to the creation of Deep Tech companies, Inria has also supported the creation of more than 150 start-ups from its research teams.
Inria effectively faces the challenges of the digital transformation of science, society and the economy.

Contexte et atouts du poste

The goal of this position is to build a state-of-the-art  image synthesis platform for training and testing computer vision and computer graphics algorithms. We have already set up an initial pipeline based on 3DSMax  (http://www.autodesk.com/products/3ds-max/overview) and Blender, and the Mitsuba renderer (https://www.mitsuba-renderer.org/). This pipeline includes our own custom plugins to parse the 3D scenes and render high quality images, as well as to run various computer vision algorithms on the rendered images (structure from motion, multi-view stereo). We use this synthetic data to evaluate the accuracy of our recent algorithms on image relighting and image-based rendering. We also want to generate large collections of rendered images for training machine learning algorithms such as Convolutional Neural Networks (CNNs).

In this context, the goal of this software engineering position will be to significantly extend our software infrastructure to generate large amounts of high-quality realistic images. The engineer will be in charge of designing and implementing novel features  of the pipeline to make it more flexible and easy-to-use. These include (among others) automating the conversion of 3D scenes in various formats; automating the generation of new scenes by modifying the geometry, materials and lighting of existing scenes; simplifying the use of the Inria cluster for large-scale computation.

These new features will involve writing scripts and plugins for 3DS Max and Mitsuba, as well as implementing published methods on automatic scene generation and augmentation. The position involves working closely with Ph.D. students and postdoctoral fellows in the group.

This positions is part of the FUNGRAPH ERC project (http://fungraph.inria.fr and  http://fungraph.inria.fr/fungraph-jobs.html)

Mission confiée

The main activities will include programming and system design (see above)

Avantages sociaux

  • Subsidised catering service
  • Partially-reimbursed public transport
  • Social security
  • Paid leave
  • Flexible working hours
  • Sports facilities