Researcher

hace 2 semanas

Madrid, España UNIVERSIDAD POLITECNICA DE MADRID A tiempo completo

Función: Desarrollo de sistemas de comunicaciones alambricas e inalámbricas y procesado de señal para distriución de contenidos de media en redes 5G. // Development of wireless and wired communications systems and signal processing for media content distribution i
- Empresa: UNIVERSIDAD POLITECNICA DE MADRID

- Nº de Plazas: 1
- Referencia: HRS2023/605

- Publicada el 15/11/2023

- Publicada hasta el 28/11/2023
- Tipo de Contrato: Indefinido

- Dedicación: Jornada completa

- Remuneración Bruta (euros/año): 25.000
- Localidad: Madrid

- Provincia: Madrid

- Disponibilidad para viajar: Si, Internacional
- Fecha de Incorporación: 08/01/2024

- Fecha de Finalización: 12 meses
- Nível Académico
Master

- Titulación Académica
Ingeniería Informática (Titulación Universitaria)

- Áreas tecnológicas
V- Tecnologías de la Información y las Comunicaciones

- Idiomas
Idioma: Español

Nível Lectura: Alto

Nível Escrito: Alto

Nível Conversación: Alto

Idioma: Inglés

Nível Lectura: Alto

Nível Escrito: Alto

Nível Conversación: Alto

- Otros
- **REQUERIMIENTOS ESPECÍFICOS/SPECIFIC REQUIREMENTS**:
Experience on the following will be an asset:

- Computer vision and image processing.
- Deep learning libraries: TensorFlow, Keras, PyTorch, ONNX
- CNNs, Transformers and YOLO architectures.
- OpenCV and Sckit-Learn.

Se valora experiência en:

- Visión artificial y tratamiento de imágenes.
- Librerías de aprendizaje profundo: TensorFlow, Keras, PyTorch, ONNX
- Arquitecturas CNNs, Transformers y YOLO.
- OpenCV y Sckit-Learn.

**HABILIDADES-CUALIFICACIONES/SKILLS-QUALIFICATIONS**:
Master Degree in an area related to ICT: Electrical Engineering, Computer Science, Mathematics,... or equivalent proven experience.

Proven knowledge / experience in deep learning, especially in the areas of:

- Neural network architectures oriented to object detection.
- Data augmentation and pre-training techniques.
- Deep learning and deep reinforcement learning training strategies.

High level of Python.

Fluent Spanish and good level of English.

Interest in working on advanced artificial intelligence technologies.

Máster en una titulación relacionada con TIC: Telecomunicación, Informática, Matemáticas,... o experiência contrastada equivalente.

Conocimiento / experiência contrastada en aprendizaje profundo, especialmente en las áreas de:

- Arquitecturas de redes neuronales orientadas a detección de objetos.
- Arquitecturas de redes neuronales orientadas a planificación de caminos, planificación de rutas u otras aplicaciones basadas en agentes autónomos.
- Técnicas de aumentación de datos y preentrenamiento.
- Estrategias de entrenamiento de aprendizaje profundo y aprendizaje profundo por refuerzo.

Nível alto de Python.

Español fluido y buen nível de inglés.

Interés en trabajar en tecnologías de inteligencia artificial avanzadas.

**CRITERIOS Y PROCESO DE SELECCION/ELIGIBILITY CRITERIA AND SELECTION PROCESS**:
**BENEFICIOS/BENEFITS**:
Membership of one of the most relevant research groups in the UPM.

International work environment collaborating with major European companies and universities.

Flexible work environment.

Integración en uno de los grupos de investigación más importantes de la UPM.

Entorno de trabajo internacional colaborando con importantes empresas y universidades de Europa.

Marco de trabajo flexible.

**COMENTARIOS ADICIONALES/ADDITIONAL COMMENTS**:

- stereoscopic, and holographic). Stemming from its activity in video compression, computer vision, extended reality, and immersive communications, the GTI team provides unique cross-area knowledge, as well as continuous attendance to relevant international conferences and standardization bodies.

El Grupo de Tratamiento de Imágenes (GTI) es un grupo de investigación sobre teoría, métodos y aplicaciones del Procesamiento Digital de Imágenes, principalmente para compresión y análisis. Además de desarrollos específicos sobre temas relacionados con el video, el GTI también considera la investigación de sistemas completos como comunicaciones visuales, visión artificial en tiempo real y aplicaciones de telecomunicaciones multimedia. Por lo tanto, el GTI ha desarrollado herramientas para el diseño e implementación de sistemas de transmisión de vídeo y aplicaciones de visión artificial basadas en aprendizaje automático. Actualmente, la actividad del GTI se centra en comunicaciones de vídeo inmersivas y aplicaciones de realidad extendida (VR, MR, AR), incluido el aprendizaje profundo para la computación visual. La infraestructura del GTI incluye tres laboratorios: un laboratorio inmersivo (ImLab) para 360VR, vídeo volumétrico y realidad extendida, un laboratorio de vídeo de punto de vista libre en tiempo real (FVV Live) dotado de configuraciones de cámara lineales y planas, esquemas livianos para adquisición de vídeo, transmisión, renderizado y mínima latencia motion-to-photon, y un completo labora

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