Ofertas de empleo
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AVISO: Esta oferta no se encuentra activa.
Oferta de Trabajo |
Código: 44091
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Puesto: INVESTIGADOR POSTDOCTORAL/POSTDOCTORAL RESEARCHER |
Función: Análisis estadísticos de los cambios territoriales y hábitos de movilidad 2020-2022 en la Comunidad de Madrid/ Analysis of territorial changes and mobility habits 2020-2022 in the Community of Madrid. |
Empresa: UNIVERSIDAD POLITECNICA DE MADRID
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Nº de Plazas: 1 |
Referencia: HRS2022/183 |
Publicada el 31/5/2022 |
Publicada hasta el 13/06/2022 |
Tipo de Contrato: Proyectos de I+D REACT-UE Investigación Madrid |
Dedicación: Jornada completa |
Remuneración Bruta (euros/año): 24.000 |
Localidad: Madrid |
Provincia: Madrid |
Disponibilidad para viajar: Si, Internacional |
Fecha de Incorporación: 01/07/2022 |
Fecha de Finalización: 6 MESES |
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Titulación Académica |
Arquitectura (Titulación Universitaria)
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Áreas tecnológicas |
P-043 Transportes y Servicios Urbanos |
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Idiomas |
Idioma: Español |
Nivel Lectura: Alto |
Nivel Escrito: Alto |
Nivel Conversación: Alto |
Idioma: Inglés |
Nivel Lectura: Alto |
Nivel Escrito: Alto |
Nivel Conversación: Alto |
Idioma: Inglés |
Nivel Lectura: Alto |
Nivel Escrito: Alto |
Nivel Conversación: Alto |
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Conocimientos de Informática |
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Capacidades técnicas de programas de diseño, visualización y habilidades gráficas. Conocimiento de programas de estadística y modelización matemática. Habilidades organizativas y capacidad de trabajar en equipos multidisciplinares. Technical capabilities in design programs, visualization and graphic skills. Knowledge of statistics and mathematical modeling programs. Organizational skills and ability to work in multidisciplinary teams.
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Experiencia |
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Planificación urbana, incluida la planificación sostenible, el diseño urbano, los usos del suelo y la infraestructura sostenible. Desarrollo de metodologías, principios, conceptos, estrategias y controles de planificación urbana y de transportes. Desarrollo y evaluación de la eficiencia y características de los diferentes modos de transporte. Análisis de patrones de movilidad y su relación con los usos del suelo y el diseño urbano. Experiencia en el diseño de metodologías mixtas, cualitativa y cuantitativas, como encuestas y análisis estadístico.
Urban planning, including sustainable planning, urban design, land use and sustainable infrastructure. Development of methodologies, principles, concepts, strategies and controls for urban and transportation planning. Development and evaluation of the efficiency and characteristics of different modes of transportation. Analysis of mobility patterns and their relationship with land use and urban design. Experience in the design of mixed qualitative and quantitative methodologies, such as surveys and statistical analysis. |
Otros |
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Este contrato será financiado mediante el CONVENIO ENTRE LA COMUNIDAD DE MADRID (CONSEJERÍA DE EDUCACIÓN, UNIVERSIDADES, CIENCIA Y PORTAVOCÍA) Y LA UNIVERSIDAD POLITÉCNICA DE MADRID PARA LA CONCESIÓN DIRECTA DE UNA AYUDA DE 7.912.000,00 EUROS PARA FINANCIAR LA REALIZACIÓN DE ACTUACIONES EN MATERIA DE INVESTIGACIÓN SOBRE EL SARSCOV2 Y LA ENFERMEDAD COVID-19 FINANCIADO CON LOS RECURSOS REACT-UE DEL FONDO EUROPEO DE DESARROLLO REGIONAL.
Las entidades financiadoras son la Comunidad de Madrid y la Unión Europea, a través del Fondo Europeo de Desarrollo Regional (FEDER), financiado como parte de la respuesta de la Unión a la pandemia de COVID-19.
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)
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