descripción del trabajo

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. #J-18808-Ljbffr