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.
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