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 MADRID Nº de Plazas: 1 Referencia: HRS2024/458 Publicada el: 10/10/2024 Publicada hasta el: 15/12/2024 Tipo de Contrato: Indefinido Dedicación: Sin especificar Remuneración Bruta (euros/año): 35.000 Localidad: Madrid Provincia: Madrid Disponibilidad para viajar: Sin especificar Fecha de Incorporación: 15/01/2024 Nível Académico: Doctor Titulación Académica: Ingeniería Informática (Titulación Universitaria), Ingeniería Áreas tecnológicas: V- Tecnologías de la Información y las Comunicaciones Idiomas: Idioma: Inglés Nível Lectura: Alto Nível Escrito: Alto Nível Conversación: Alto Idioma: Español Nível Lectura: Medio Nível Escrito: Medio Nível Conversación: Medio HABILIDADES-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