Función: Machine Learning models development related to Structural Monitoring, analysis of composite structures through FEM and discrete-time advanced signal processing.Empresa: UNIVERSIDAD POLITECNICA DE MADRIDNo de Plazas: 1Referencia: HRS2024/458Publicada el: 10/10/2024Publicada hasta el: 15/12/2024Tipo de Contrato: IndefinidoDedicación: Sin especificarRemuneración Bruta (euros/año): 35.000Localidad: MadridProvincia: MadridDisponibilidad para viajar: Sin especificarFecha de Incorporación: 15/01/2024Nível Académico: DoctorTitulación Académica: Ingeniería Informática (Titulación Universitaria), IngenieríaÁreas tecnológicas: V- Tecnologías de la Información y las ComunicacionesIdiomas:Idioma: InglésNível Lectura: AltoNível Escrito: AltoNível Conversación: AltoIdioma: EspañolNível Lectura: MedioNível Escrito: MedioNível Conversación: MedioHABILIDADES-CUALIFICACIONES/SKILLS-QUALIFICATIONS:PhD degree within the fields of mechanical, telecommunications or aeronautics.Programming skills in Python, also valuable Matlab and C. Demonstrable experience with Linux OS.Experience in advanced signal processing, statistical analysis and machine learning.Good communication skills, excellent written and spoken English.REQUERIMIENTOS ESPECIFICOS/SPECIFIC REQUIREMENTS:Valuable requirements: Finite Element Method applied to structural mechanics problems; Knowledge on AI frameworks such as TensorFlow, Keras or PyTorch.BENEFICIOS/BENEFITS:Contract conditions: Full time work (37.5h/week).
Contract Length: temporary, 2 years.
Location: Madrid, Universidad Politécnica de Madrid, Campus Sur.
Possibility of research stay 6-9 months at BSC-CNS Barcelona.
Annual gross salary: 35.000€.Work-Life Balance and Flexibility with very flexible work schedules.CRITERIOS Y PROCESO DE SELECCION/ELIGIBILITY CRITERIA AND SELECTION PROCESS:COMENTARIOS ADICIONALES/ADDITIONAL COMMENTS:#J-18808-Ljbffr