Research Engineer

il y a 6 jours


Montpellier, Occitanie, France INRAE, ABSys lab Temps plein

Fixed-term position (12 months)

Metamodelling for Crop Model Simplification

We are seeking a motivated Research Engineer to apply machine learning techniques to simplify a process-based tree-crop model. The successful candidate will have an engineering degree in machine learning, statistics or applied mathematics with a willingness to learn principles of agronomy and to understand crop modelling, or a PhD degree in agriculture, plant sciences, modelling or related sciences with experience in using and improving crop simulation models, and motivation to acquire new knowledge in machine learning.

Key Responsibilities

  • Validate the model in different conditions using existing data on long-term performance of agroforestry systems
  • Build the training dataset to cover the desired range of cropping system, tree configuration, soil, climate, management, etc...
  • Choose a suitable machine learning technique and train the meta-model on the simulated data
  • Make the meta-model available for queries through an API

Working Conditions

The position is a fixed-term position (12 months) at INRAE, ABSys lab. The successful candidate will work in a dynamic and international environment with a team of experts in crop modelling and machine learning.

How to Apply


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