CONTEXT
The targeted research theme concerns the field of artificial intelligence, applied to the semantic analysis of massive, distributed and heterogeneous multimedia data. This concerns the automatic, multi-modal interpretation of complex audio-visual documents, computer vision, multimedia indexation, knowledge extraction and machine learning methodologies. The expected contributions will focus on deep neural network learning methods and target the entire multimedia content processing chain.
The missions within Télécom SudParis include:
EXPECTED PROFILE
The candidates should present teaching experience in higher education. They are required good knowledge of methodologies related to multimedia content analysis and notably in-depth scientific knowledge of deep and non-deep machine learning techniques, as well as associated software development tools and environments (tensorflow/keras frameworks, pytorch, specialized Python libraries).
In addition, they should have a very good, high quality publication productivity, in line with IP Paris recruitment policy and allowing immediate integration into the SAMOVAR laboratory. A research experience and publications with multiple teams, or an experience with an international team, is highly welcome. Finally, prior experience in the field of collaborative research and setting up of collaborative projects is highly appreciated.
LEVEL OF EDUCATION AND/OR EXPERIENCE REQUIRED
ESSENTIAL SKILLS, KNOWLEDGE AND EXPERIENCE
ABILITIES AND SKILLS
FURTHER INFORMATION
- detailed CV
- motivation letter
- a statement of further research and teaching activities at Telecom SudParis
- coordinates of at least two referees
- a list of the main publications
Additional elements ( integration statement, research and teaching statement, teaching records, reference letters, distinctions, etc.) are left to the appreciation of the candidate.
ABOUT US
Télécom SudParis (telecom-sudparis.eu), established in 1979 as the Institut national des télécommunications (INT), is a Grande École which belongs to the Institut Mines-Télécom (IMT) Group. As a "Grande Ecole", it trains tomorrow’s elite engineers and managers in the field of digital sciences and technology. It is a founding member of Institut Polytechnique de Paris.
SAMOVAR (http://samovar.telecom-sudparis.eu/) is the research laboratory of Telecom SudParis. It is the entity of the school evaluated by the HCERES (French research evaluation council). It regroups all the academic staff of Telecom SudParis, along with colleagues from ENSIIE doing research in computer science.
Institut Polytechnique de Paris (ip-paris.fr) is a public higher education and research institution comprising five prestigious French engineering Schools: École Polytechnique, ENSTA Paris, ENSAE Paris, Télécom Paris and Télécom SudParis. Under the aegis of the Institute, they bring together two centuries of expertise to pursue two major goals: to develop world-class training programs and cutting-edge research. Building on the strength of its five founding institutions, the Institut Polytechnique de Paris has established itself as a leading education and research institution in France and internationally. École Polytechnique, ENSTA Paris, ENSAE Paris, Télécom Paris and Télécom SudParis have contributed to major industrial and technological breakthroughs over the last two centuries. Their alumni include Nobel prize-winners and prominent figures in the worlds of politics, business and research.
Institut Mines-Télécom (imt.fr) is a public institution dedicated to higher education and research for innovation. It is a key player in the fusion of science, engineering and digital technology, and takes its schools’ skills into the major fields of transformation in digital technology, industry, energy and the environment as well as their impact on the industry of the future, cities, health, and autonomy.
Telecom SudParis, established in 1979 as the Institut national des télécommunications (INT), is a Grande École which belongs to the Institut Mines-...
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