The Machine Learning team at LITIS is opening a postdoctoral position for a candidate with a strong experience in Machine Learning, with application to one of the following topics : Speech Processing, Handwriting Processing, Computer Vision, or Document Image Processing.
The candidate will be involved in pursuing the development of Handwriting recognition and document image processing technologies to extend the PlaIR plateform that was originally developepd for digitizing old Newspapers www.plair.univ-rouen.fr. New contributions of the candidate are expected regarding Handwriting Recognition (HWR), by combining deep optical models with deep language models. He will contribute with other members of the team to various research projects in this domain.
Experimented engineer or postdoctoral candidates having a strong background in one of the following topics: Neural Networks, Deep Neural Networks, Hidden Markov MOdels, Reccurent Neural Networks, statistical langguage models, computer vision.
The successful candidate should have advanced programming skills (Python, C/C++, Matlab). Experience of developping models within one of the popular frameworks such as Torch 7, TensorFLow, will be particularly appreciated.
Application should include a curriculum vita, a brief statement of research interests, and the names of at least three references.
Duration: 18 months, starting as soon as possible.
(c) GdR 720 ISIS - CNRS - 2011-2015.