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profile PhD (awarded within the last 5 years) of high quality, ideally in machine learning (in the broad sense), complemented by a strong mathematical foundation in probability and/or statistics Research
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-world applications and labour market needs Support the development of pedagogical content for MOOCs, workshops, and blended learning formats Participate in hackathons, workshops, and AI public engagement
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-quality training and learning materials, and a sustainable plan. FSTM's main tasks are to contribute to the definition of the body of knowledge and competencies, assist in developing the skill tree used as
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, Impresso - Media Monitoring of the Past (https://impresso-project.ch/ ) is an interdisciplinary research project that uses machine learning to pursue a paradigm shift in the processing, semantic enrichment
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water. Clearly identified scientific objectives motivate and guide the design and development of space mission by CESBIO and monitoring tools. Missions: - Data processing, apply and tune deep-learning
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, research engineers), and around 140 PhD students, post-doctoral researchers and staff on fixed-term contracts. The Institute also welcomes several dozen interns and visiting scientists every year. The
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Deep Learning-type methods. The focus will be on geodesic methods, the search for paths of minimum length according to an adapted metric, imposing for example a penalization of the curvature. In addition
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will focus on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural
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of Research Experience1 - 4 Additional Information Eligibility criteria - PhD in Phonetics/Phonology, Computational Linguistics, Automatic Speech Processing/Machine Learning or relevant related fields
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from major cities like Paris (2h), Geneva (~1.5h) and Marseille (~1h) as well as the Alps and Mediterranean Sea. Applicant’s profile: Essential criteria: - PhD in Neuroscience, computational biology