Researcher in machine learning in chemistry and chemical engineering

Función: Application of data science tools and development of machine learning models for the optimization of materials and processes for bioenergy production and carbon capture

Empresa: INCAR-CSIC

Referencia: Machine learning chemistry

Publicada el: 9/10/2024

Publicada hasta el: 9/1/2025

Tipo de Contrato: Sin especificar

Dedicación: Jornada completa

Localidad: Oviedo

Provincia: Asturias

Disponibilidad para viajar: Sin especificar

Fecha de Finalización: 10 meses

Nivel Académico

• Ingeniero Superior/Licenciado
• Grado
• Master

Titulación Académica

• Ingeniería Industrial (Titulación Universitaria)
• Química (Titulación Universitaria)
• Ingeniería Química (Titulación Universitaria)

Áreas tecnológicas

• I- Energía
• T- Química
• V-03 Data Science
• V-06 Inteligencia Artificial

Idiomas

• Idioma: Inglés
• Nivel Lectura: Alto
• Nivel Escrito: Alto
• Nivel Conversación: Medio

Otros

INCAR-CSIC (www.incar.csic.es) is a research center of the Spanish National Research Council (CSIC) in the fields of Chemistry and Chemical Technology, located in Oviedo (Spain).

In the PrEM Group we are looking for researchers to work on the application of artificial intelligence techniques, such as machine learning, in chemistry and chemical engineering in projects focused on clean energy production and carbon capture from biomass conversion.

Requirements:

• Bachelor’s or Master’s degree in Chemistry, Computational Chemistry, Chemical Engineering, Industrial Engineering, or related fields.
• Knowledge and experience in programming (Python).
• Preferably, some experience in data analysis and machine learning.
• Motivation and interest in integrating chemical knowledge with machine learning applications.
• Good written and oral communication skills in English.