Ofertas de empleo
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AVISO: Esta oferta no se encuentra activa.
| Oferta de Trabajo |
Código: 32443
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Puesto: Investigador de apoyo_IPCA |
| Función: Development of fusion-classification algorithms for different image modalities (including hyperspectral) in immersive 3D environments |
| Empresa: CITSEM - Universidad Politécnica de Madrid
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Nº de Plazas: 1 |
| Referencia: Y2018/BIO-4826 (NEMESIS-3D-CM) |
Publicada el 11/4/2019 |
Publicada hasta el 07/06/2019 |
| Tipo de Contrato: Proyectos sinérgicos de I+D |
Dedicación: Jornada completa |
Remuneración Bruta (euros/año): 19478,72 |
| Localidad: Madrid |
Provincia: Madrid |
Disponibilidad para viajar: Si |
| Fecha de Incorporación: 17/06/2019 |
Fecha de Finalización: 1 año (prorrogable hasta 3) |
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| Nivel Académico |
| Ingeniero Superior/Licenciado
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| Titulación Académica |
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Ingeniería de Telecomunicaciones (Titulación Universitaria)
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Ingeniería Informática (Titulación Universitaria)
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Ingeniería Electrónica (Titulación Universitaria)
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| Idiomas |
| Idioma: Inglés |
Nivel Lectura: Alto |
Nivel Escrito: Alto |
Nivel Conversación: Alto |
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| Experiencia |
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Preferred skills:
- Very good programming skills in C/C++ (Other programming skills are a plus)
- Machine/deep Learning, Evolutionary Computing or similar soft-computing
- Image pre-processing and fusion, immersive environments, 3D representation
- Heterogeneous computing and programming frameworks
- A good command of English (written and spoken) is required for the working environment. Spanish is not mandatory
Other valuable skills:
- Medical imaging (e.g. MRI, HSVI, IOUS, diverse intra-operative medical imaging, .)
- Hyperspectral sensors and head-mounted devices (HMD)
- Previous research experience
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| Otros |
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Development of fusion-classification algorithms for different image modalities (including hyperspectral) in immersive 3D environments. Targeted applications and algorithms include (but are not limited to) the detection of brain tumors from spectral signatures using machine learning for classification tasks. Also, different-source medical-images fusion techniques will be implemented. A more specific list of subtopics follows:
- Exploration, analysis and implementation of machine/deep learning classification algorithms (supervised, non-supervised and hybrid) and of medical-imaging fusion techniques from different sources (HSVI, IMR, IOUS, …).
- Development of the displaying interface for an immersive 3D representation.
- Endorse the conception and design of the required efficient SW/HW solutions using C/C++/OpenCL techniques for heterogeneous HPC nodes (GPU, FPGA, many cores, …).
- Characterization (e.g., computational complexity, workload distribution, suitability, efficiency) of the fusion-classification algorithms implementation over the targeted platforms.
- High-level modelling and validation of the proposed algorithms.
- Design of the test-benches and automation of the data-processing results analysis.
*Este contrato está financiado a través del proyecto Y2018/BIO-4826, NEMESIS-3D-CM, de la convoctoria de ayudas para la realización de proyectos sinérgicos de I+D, cofinanciado en un 50% por el Fondo Social Europeo de la Comunidad de Madrid
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