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Oferta de Trabajo  Código: 37643  

Puesto: PhD position in 3D integrated geophysical-petrological modelling of the crust and mantle at global scale

Empresa: Facultad de CC Físicas, UCM Nº de Plazas: 1
Referencia: Talento_2018-T1/AMB/11493 Publicada el 5/10/2020 Publicada hasta el 5/1/2021
Tipo de Contrato: Programa Talento Dedicación: Jornada completa  
Localidad: Madrid Provincia: -- Disponibilidad para viajar: Sin especificar

Nivel Académico
Ingeniero Superior/Licenciado  
Master  

Titulación Académica
Física (Titulación Universitaria)
Geología (Titulación Universitaria)
Matemáticas (Titulación Universitaria)
Ingeniería de Minas (Titulación Universitaria)

Áreas tecnológicas
M- Geociencias

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

Otros

   

PhD Position: 3D integrated geophysical-petrological modelling of the crust and mantle at global scale

The Faculty of Physics (Universidad Complutense de Madrid) invites applications for a PhD positions. The research project will involve multi-scale seismic, topography and satellite gravity field data imaging and petrological modelling of the crust and mantle at global scale within an integrated framework. Our group has recently developed a global lithospheric-upper mantle thermochemical model using state of the art terrestrial and satellite data sets within a project funded by Comunidad de Madrid Atracción de Talento Programme, Modalidad 1- (Ref. 2018-T1/AMB/11493) leaded by Dr Javier Fullea. We seek suitable candidates to extend the model upwards (crust) and downwards (transition zone-lower mantle). The intended starting date for the position is January 15, 2021. Consideration of applications will begin on October 16 and continue until the positions are filled. Potential candidates should send a cover letter outlining their research interests, motivation and suitability, a full CV and contact details of three referees via email to Dr Javier Fullea (jfullea@ucm.es) using the subject line “WINTERC”. For additional information on the project or working at UCM please contact Javier Fullea. Specific information on the position is given below.

 

This job offer will also be published in UCM web page. Applications must be made both through " Portal de empleo CAM" and also UCM web page. (Esta oferta saldrá publicada también en la página de la web de la Universidad Complutense de Madrid. Para que las solicitudes sean validadas, los candidatos deben solicitar la plaza tanto en el portal de empleo de la CM, como en la oferta de plazas del organismo contratante (UCM)).

 

PhD project: global 3D thermal and lithological structure of the crust

Duration:        (3 years)

The PhD project involves the development of a global model of the crust in terms of lithology and temperature integrating available petrological (crustal xenoliths, mid oceanic ridge basalts, exposed basement rocks) seismic (waveform tomography, controlled and passive source local studies) gravity (terrestrial and satellite) and surface heat flow data sets. In contrast to the mantle, where thermodynamic equilibrium is prevalent, vast portions of the crust are thermodynamically metastable, with their mineralogical assemblage and physical properties reflecting instead the conditions present at the moment of rock formation. Therefore, a fundamental methodological development in the project will be to define a comprehensive lithological parmeterization of the crust suitable for inversion of large scale geophysical data sets. The candidate will use the existing multi-parameter inversion geophysical-petrological tools in the group and will develop them further. The crustal model will be coupled with the existing lithospheric-upper mantle model in the group and the transition zone-lower mantle model to be developed in the course of this project (see Post-Doctoral position above).

Qualifications:

Applicants must hold a M.Sc. or equivalent degree in geosciences. Familiarity in petrology/mineral physics for candidates with a geophysical profile will be considered an advantage. Likewise, modelling and coding experience (e.g., computational petrology) for candidates with a geological profile will be considered an advantage. Ability to conduct independent research and interest in pursuing an academic career. Proficiency in both written and oral English.

 



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