Pour les employeurs
Temporary scientific engineer / Software engineering / Optimization, machine learning and statistical methods / the PlantGame2


Inria
il y a 2 jours
Date de publication
il y a 2 jours
S/O
Niveau d'expérience
S/O
Temps pleinType de contrat
Temps plein
A propos du centre ou de la direction fonctionnelle

The Inria centre at Université Côte d'Azur includes 42 research teams and 9 support services. The centre's staff (about 500 people) is made up of scientists of different nationalities, engineers, technicians and administrative staff. The teams are mainly located on the university campuses of Sophia Antipolis and Nice as well as Montpellier, in close collaboration with research and higher education laboratories and establishments (Université Côte d'Azur, CNRS, INRAE, INSERM ...), but also with the regiona economic players.

With a presence in the fields of computational neuroscience and biology, data science and modeling, software engineering and certification, as well as collaborative robotics, the Inria Centre at Université Côte d'Azur is a major player in terms of scientific excellence through its results and collaborations at both European and international levels.

Contexte et atouts du poste

The position will be funded by the Pl@ntNet consortium.

The position will be dedicated to develop a new feature in the Pl@ntNet app, adapted from thePlantGame.

Is regular travel foreseen for this post ? No

Mission confiée

Assignments :

Following preliminary work on the handling and scaling up of ThePlantGame inference algorithm, the candidate will have to implement the best version in the Pl@ntNet system.

The selection of the inference algorithm version will be based on its benefit in terms of
accuracy but also in terms of ease of integration and maintenance in the Pl@ntNet
platform.

Collaboration :
The recruited person will be in connection with Joseph Salmon and Jean-Christophe Lombardo, and more widely with the core Pl@ntNet team

Principales activités

Main activities (5 maximum) :
  • Software developement
  • Analyze the requirements of the app.
  • Develop a module performing confusion estimation in the current Pl@ntNet plateform
  • Write documentation
  • Test, change up until validation
  • Transfer knowledge and techniques to the core developper team

Compétences

Technical skills and level required :
  • Master or PhD.
  • experience in datascience
  • strong skills in software developement / database / big data

Other values appreciated :
  • knowledge in life sciences
  • experience in collaborative work contexts
  • Language : 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 (after 6 months of employment) 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
  • Contribution to mutual insurance (subject to conditions)

Rémunération

From 2692 € gross monthly (according to degree and experience)
Balises associées
-
RÉSUMÉ DE L' OFFRE
Temporary scientific engineer / Software engineering / Optimization, machine learning and statistical methods / the PlantGame2
Inria
Montpellier
il y a 2 jours
S/O
Temps plein

Temporary scientific engineer / Software engineering / Optimization, machine learning and statistical methods / the PlantGame2