Assistant/Associate Professor on Deep Learning for Multimodal Data - CDI
2024-07-18 Palaiseau, Île-de-France
Télécom Paris is looking for a new Lecturer specialized in Deep Learning for Multimodal Data for the Images, Data and Signal (IDS) department at Télécom Paris. As a member of a dynamic team, you will contribute to research and teaching in a stimulating and innovative environment.
Your main missions will be to :
- Participate in cutting-edge research projects in deep learning applied to multimodal data
- Teach and mentor students in the field of deep learning and multimedia technologies
- Collaborate with researchers and industry professionals to develop innovative solutions
- Contribute to the publication of scientific articles and the dissemination of research results
Job requirements
The ideal candidate will hold a PhD in computer vision, machine learning or signal processing, with an excellent publication record and solid international experience. He/she will demonstrate competence in deep learning for multimodal data, computer vision and video processing. Qualities such as team spirit, autonomy, motivation, as well as the ability to secure funding and advise theses are essential. Fluency in English is required, while knowledge of French is not mandatory. Experience in university teaching is desirable. Additional skills in probabilistic models, statistical image/video processing and continuous learning will be appreciated.
