IDEALCV-CM - Improved Deep Learning for Computer Vision

Descripción

Offer Description: Main tasks: Exploration of memory-compression architectures for long-term procedural action prediction. The subtask will explore approaches such as hierarchical temporal representations, recurrent memory mechanisms, etc. Development of a novel adaptive memory-compression architecture adapted to our assistive robotic environment Experimental evaluation and analysis. Experiments will assess prediction accuracy at different temporal horizons. This contract is funded by the Community of Madrid through the project “Improved Deep Learning for Computer Vision” (IDEALCV-CM), reference TEC-2024/COM-322, awarded under the 2024 R&D Activity Programmes in Technologies call, through the Directorate-General for Research and Technological Innovation, pursuant to Order 5696/2024 of 10 December, issued by the Regional Minister for Education, Science and Universities. To be eligible for this selection process, applicants must submit their application through the call published by Universidad Carlos III de Madrid (UC3M): https://aplicaciones.uc3m.es/atenea/publico/1/listarConvocatorias , under reference number 2026/372. ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ Este contrato está financiado con fondos de la Comunidad de Madrid a través del proyecto "Improved Deep Learning for Computer Vision"; con acrónimo IDEALCV-CM, y referencia TEC-2024/ COM-322, concedido en la convocatoria Programas de actividades de I+D en Tecnologías 2024 a través de la Dirección General de Investigación e Innovación Tecnológica a través de la ORDEN 5696/2024, de 10 de diciembre, del Consejero de Educación, Ciencia y Universidades. Para ser admitido/a a este proceso de selección, es imprescindible presentar la candidatura a la convocatoria publicada en la UC3M ( https://aplicaciones.uc3m.es/atenea/publico/1/listarConvocatorias ), con referencia 2026/372 Requirements: Research Field Other Education Level Master Degree or equivalent Skills/Qualifications Degree in Biomedical Engineering or a related field. A Master's degree in Machine Learning applied to healthcare or a related discipline will be considered an advantage. Programming skills in Python, Java, MATLAB and R. Knowledge of Deep Learning and/or Computer Vision. Previous experience in university teaching. Previous experience in publishing scientific articles in peer-reviewed journals. Certified English proficiency at C1 level or above. Specific Requirements Applicants must hold a completed university degree (Bachelor's degree or equivalent), in accordance with the eligibility requirements established in the official call. To be eligible for this selection process, applicants must submit their application through the call published by Universidad Carlos III de Madrid (UC3M) at https://aplicaciones.uc3m.es/atenea/publico/1/listarConvocatorias , under reference number 2026/372. Languages ENGLISH Level Excellent Research Field Computer science » OtherBiological sciences » Biological engineering Years of Research Experience 1 - 4 Additional Information: Benefits The position offers a full-time employment contract with a working schedule of 37.5 hours per week. The gross monthly salary is €2,029.07, paid in 12 instalments per year. Eligibility criteria Applicants must hold a completed university degree (Bachelor's degree or equivalent), in accordance with the eligibility requirements established in the official call. Selection process Applicants must submit their application through the call published by Universidad Carlos III de Madrid (UC3M), under reference number 2026/372, available at: https://aplicaciones.uc3m.es/atenea/publico/1/listarConvocatorias . Website for additional job details https://aig.webs.tsc.uc3m.es/

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Fuente

Fuente: euraxess.ec.europa.eu