IN

Research Associate - Digital Agriculture

International Livestock Research Institute (ILRI)
📍 KenyaCDI🗓️ 11 days ago

Job Description

Kenya
CDI

Your safety comes first — read before you go. Taf4All only lists job offers published by third parties. We are not the employer, we do not conduct these recruitments, and we cannot guarantee what happens once you make contact — you deal directly with the person or company behind the offer, at your own risk.

Research Associate - Digital Agriculture

Le International Livestock Research Institute (ILRI) œuvre pour améliorer la sécurité alimentaire et réduire la pauvreté dans les pays en développement grâce à la recherche pour une utilisation meilleure et plus durable du bétail. L'ILRI est un centre de recherche du CGIAR, faisant partie d'un partenariat mondial de recherche pour un avenir sûr sur le plan alimentaire.

Type de poste : Temps plein

Qualification : BA/BSc/HND

Domaine : Data, Business Analysis et IA, ICT / Informatique

Responsabilités :

L'assistant de recherche devra :

  • Soutenir l'ingestion, le nettoyage et la gestion des données météorologiques, pédologiques et agricoles.

  • Aider à l'analyse des données climatiques (par exemple, précipitations, température, prévisions).

  • Contribuer au développement et à la maintenance de plateformes telles que AgDataHub.

  • Aider à l'évaluation comparative et à la validation des produits de prévision.

  • Développer des scripts et des flux de travail (Python) pour le traitement et l'analyse des données.

  • Assurer la liaison avec les partenaires nationaux (par exemple, agences météorologiques, institutions de recherche).

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  • Licence avec un minimum de deux ans d'expérience pertinente en informatique, mathématiques appliquées, statistiques, IA/ML, science des données ou un domaine étroitement lié.

  • Maîtrise de Python.

  • Maîtrise de Git/GitHub pour le contrôle de version et le développement collaboratif.

  • Expérience avec les environnements Linux/Unix et les outils en ligne de commande.

  • Expérience dans l'application de l'apprentissage profond (CNN ou similaire) aux données géospatiales ou de télédétection.

  • Familiarité avec les environnements de cloud computing (AWS) et les systèmes de données distribués (Apache Druid).

**

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  • Solides compétences analytiques et de communication écrite en anglais.

  • La connaissance du français sera un atout supplémentaire.

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Your safety comes first — read before you go

Taf4All only lists job offers published by third parties. We are not the employer, we do not conduct these recruitments, and we cannot guarantee what happens once you make contact — you deal directly with the person or company behind the offer, at your own risk.

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  • A salary that is far above the market rate for the position and the city is a red flag — be extra cautious.

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