Durée du contrat : 36 mois

PhD : Machine learning optimization and control of ultrafast lasers and applications

PhD : Machine learning optimization and control of ultrafast lasers and applications

Machine learning is a field of artificial intelligence that applies advanced techniques from statistics and numerical analysis to perform tasks without explicit programmed instructions. Recent years have seen dramatic impact of machine learning in society, with applications in health-care, autonomous vehicles, and language processing. The objective of this thesis is to apply techniques of machine learning to develop customized and programmable ultrafast lasers, and to develop deep learning (neural network) approaches to both aid in the design of the sources themselves, as well as to optimize the generation and propagation of these pulses in optical fibre.

John Dudley - Contacter
FEMTO-ST is one of France’s leading research centers in engineering science and photonics, and combines permanent staff from the CNRS and Université Bourgogne Franche-Comté in an exciting multidisciplinary environment. Besançon is a picturesque town dating back to Roman times containing a UNESCO World Heritage Site, many cultural attractions, and easy access to outdoor pursuits.

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