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Oferta de Trabajo  Código: 33623  

Puesto: Research assistant (PhD student) in computational and data-driven nanoporous materials discovery

Empresa: IMDEA Materiales  
Referencia: NMGC1_MH_RA01 Publicada el 13/8/2019 Publicada hasta el 15/06/2021
Tipo de Contrato: Contrato temporal Dedicación: Jornada completa  
Localidad: Getafe Provincia: Madrid Disponibilidad para viajar: Sin especificar
Enlace URL: jobs.materials.imdea.org/offer/114

Nivel Académico
Master  

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

Áreas tecnológicas
P- Arquitectura, Ingeniería y Producción

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

Otros

IMDEA Materials Institute’s Computational and Data-driven Discovery Group seeks to fill a PhD student position starting in Fall 2019. A successful candidate will work on a project which involves development and applications of novel computational tools to accelerate discovery of advanced nanoporous materials for various energy applications. The project will involve a close collaboration with a number of top-tier universities in the USA.

The exact scope of the to-be-pursuit project will be determined on the basis of current needs as well as the previous experience, skills and interests of the successful candidate. For example, it may involve optimization-based materials design, similarity-based materials screening, data and structure mining of material databases, structure prediction and enumeration, development of software and web-based tools for materials analysis etc.

REQUIREMENTS

Candidates holding a Master of Science degree in material science, chemistry, crystallography, chemoinformatics, physics, applied math, statistics or computer science are welcome to apply. However, experience in at least one of the following is necessary: computational chemistry/materials modeling tools (e.g. electronic structure, molecular simulations, chemoinformatics), practical knowledge of a common programming language (e.g. C++, Python), statistical analysis/machine learning tools or computational geometry/applied topology tools. This required experience needs to be demonstrated by, for example, a completed dissertation, a scientific publication, a working open-source software etc.

Moreover, it is expected that the successful candidate will be independent, creative, curiosity-driven, motivated to explore solutions to difficult scientific problems, and have strong work ethics. Excellent academic credentials will be highly regarded. Strong communication skills in English (both spoken and written) are necessary in this position.

CONDITIONS

Contract with full social security coverage. Gross Salary depending on qualifications.

Besides on-the-job technical training, IMDEA Materials Institute is committed to train the Institute’s scientists and staff in “soft” or transversal skills. See the available training here.

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INTERESTED CANDIDATES CAN APPLY HERE (only): http://jobs.materials.imdea.org/offer/114