PhD student

hace 2 semanas


Guadalupe de Maciascoque, Murcia, España Universidad Católica San Antonio de Murcia A tiempo completo

¿Te apasiona la Inteligencia Artificial, el Machine Learning y su aplicación a retos reales con impacto medioambiental? ¿Quieres desarrollar tu carrera investigadora en un proyecto puntero que une tecnología, sostenibilidad y agricultura inteligente?

Esta es tu oportunidad

Sobre el proyecto

El proyecto SERGIoT tiene como objetivo reducir el impacto medioambiental de la agricultura intensiva mediante el diseño de una estrategia de gemelos digitales para la gestión eficiente de invernaderos.

A través de tecnologías avanzadas de Machine Learning y Deep Learning, se busca automatizar procesos agronómicos, optimizar el uso de recursos y maximizar la producción de forma sostenible.

Funciones principales

  • Diseño, desarrollo y entrenamiento de algoritmos de Machine Learning y Deep Learning.
  • Creación de modelos precisos, robustos y energéticamente eficientes.
  • Desarrollo de sistemas capaces de predecir y tomar decisiones en tiempo real.
  • Optimización del uso de recursos en entornos de invernadero mediante gemelos digitales.
  • Participación activa en un entorno multidisciplinar e innovador.

Requisitos

  • Grado en Ingeniería Informática, osimilares con Máster en Ciencia de Datos o Ingeniería Biomédica.
  • Interés por la investigación y por realizar un doctorado.
  • Motivación por aplicar la IA a retos reales y sostenibles.

¿Qué ofrecemos?

  • Integrarte en el grupo Universal Knowledge Enhancement by Multidisciplinary Implementation (UKEIM).
  • Participar en un proyecto con alto impacto científico, tecnológico y medioambiental.
  • Formación avanzada en IA, gemelos digitales y sistemas inteligentes.
  • Excelente entorno de trabajo con supervisión académica de Andrés Bueno Crespo.
  • Oportunidad real de crecimiento investigador y profesional.

Tipo de puesto: Jornada completa, Contrato temporal

Ubicación del trabajo: Empleo presencial


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