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Oferta de Trabajo  Código: 44214  

Puesto: Post-doctoral research associate on catalyst design by first principles simulations and machine learning tools

Función: Work on the development of high-throughout computational strategies to design new catalysts with particular emphasis in elastic strain engineering
Empresa: FUNDACIÓN IMDEA MATERIALES  
Referencia: BCMoM_JLL_PD01 Publicada el 8/6/2022 Publicada hasta el 8/9/2022
Tipo de Contrato: Proyectos de I+D REACT-UE Investigación Madrid Dedicación: Jornada completa  
Localidad: Getafe Provincia: Madrid Disponibilidad para viajar: Sin especificar
Enlace URL: jobs.materials.imdea.org/offer/230/apply

Nivel Académico
Doctor  

Titulación Académica
Física (Titulación Universitaria)
Química (Titulación Universitaria)
Ingeniería de Materiales (Titulación Universitaria)

Áreas tecnológicas
L- Física
T- Química
T-02 Química de Materiales

Idiomas
Idioma: Inglés Nivel Lectura: Alto Nivel Escrito: Alto Nivel Conversación: Alto

Experiencia
Expertise in DFT is required while experience in Monte Carlo, cluster expansion and transition state theory will be valued.

Otros

Title: Post-doctoral research associate on catalyst design by first principles simulations and machine learning tools

Short description:The Bio/Chemo/Mechanics of Materials group of IMDEA Materials Institute is looking for a post-doctoral Research Associate to work on the development of high-throughout computational strategies to design new catalysts with particular emphasis in elastic strain engineering

Description:

Research activities will be focussed on the application of first principles simulations and machine learning algorithms to explore the influence of large elastic strains of the catalytic properties of metallic and metal-oxide surfaces. The final goal is to develop a high-throughput methodology to design new catalysts taking into account the effect of mechanical deformations.

Requirements:

 

Candidates should hold a PhD in Computational Materials Science, Physics, Chemistry or related discipline with excellent academic credentials and a strong commitment to develop an academic career in an international and multidisciplinary environment. Fluent English (written and oral) and expertise in DFT is required while experience in Monte Carlo, cluster expansion and transition state theory will be valued.

Conditions:

Este contrato se realiza para el desarrollo del proyecto MAD2D-CM – “Materiales disruptivos bidimensionales (2d) para la nueva transformación tecnológica” dentro del Programa de I+D+i en el marco de los planes complementarios con cargo a fondos del plan de recuperación, transformación y resiliencia del Ministerio de Ciencia e Innovación.

This contract is for the development of the MAD2D-CM project - "Two-dimensional (2d) disruptive materials for the new technological transformation" within the R&D&I Programme in the framework of the complementary plans financed by funds from the recovery, transformation and resilience plan of the Ministry of Science and Innovation.

Salary depending on previous experience and credentials.

Full time contract including  social security coverage.

 

Starting date: Available immediately; open until filled.

To participate in the selection process, it is necessary to apply through the offer published on the IMDEA Materials website: https://jobs.materials.imdea.org/offer/230/apply



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